Senior Network Security Engineer - Saudi National

The Senior Level 3 Email Security Engineer plays a crucial role in the advanced design, optimization, and management of the bank’s secure email gateway and email threat protection systems. This position is pivotal in thwarting phishing attempts, business email compromise, malware intrusions, and data loss through email. The engineer will also oversee the integration of email gateways with Data Loss Prevention (DLP), classification systems, and Security Information and Event Management (SIEM) solutions.Key Technologies Include:Cisco Secure Email, ESA, or IronPortFireEye or Trellix Email Security Appliance EXForcepoint Email Security GatewayTrend Micro ScanMail for Exchange or equivalentThe engineer will serve as the ultimate escalation point for email security incidents, lead incident response efforts, and drive continuous enhancements in detection efficacy and management of false positives. Email remains the primary attack vector for many organizations, as supported by vendors like Trellix and Forcepoint that emphasize email as a key entry point for ransomware and targeted attacks.Core ResponsibilitiesAdvanced Support and Escalation ManagementAct as the final escalation point for incidents related to spam, phishing, malware, malicious URLs or attachments, spoofing, and business email compromise attacks.Lead investigations into incidents where malicious or suspicious emails have reached users, including message tracking, header analysis, sandbox results, and coordination with the Security Operations Center (SOC).Coordinate rapid containment actions such as email clawback, quarantine adjustments, or temporary blocks on senders and domains.Policy Design, Configuration, and TuningDevelop and maintain email security policies on platforms such as Cisco ESA, Forcepoint Email Security, Trellix or FireEye EX, and Trend Micro ScanMail, ensuring a balance between security and user experience.Configure anti-spam measures, reputation filters, outbreak filters, sandboxing, URL rewriting or filtering, and attachment scanning or blocking policies.Refine policies based on feedback related to false positives or negatives, threat intelligence, and SOC data, following clear approval workflows.Oversee TLS encryption policies for both inbound and outbound emails and coordinate certificate management with PKI and messaging teams.Email Authentication and Trust ControlsEstablish and maintain SPF, DKIM, and DMARC policies in collaboration with DNS and messaging teams to mitigate spoofing and domain abuse.Review authentication failures and modify alignment policies while safeguarding legitimate business communications.Email DLP and Data Protection IntegrationCollaborate closely with Data Protection and DLP engineers to integrate Forcepoint DLP and classification or DRM policies on email channels, ensuring sensitive data is identified and managed appropriately.Assist in the design and tuning of DLP policies for Personally Identifiable Information (PII), financial data, and other regulated data types, in alignment with SAMA CSF and NCA requirements.

Job Summary:As a Senior Splunk Engineer, you will play a pivotal role in the design, execution, management, and enhancement of Splunk Enterprise or Splunk Cloud in a large-scale corporate or managed services framework. You will oversee log onboarding, develop correlation rules, create dashboards, and tune performance to ensure the Splunk platform provides precise, actionable insights for security operations and compliance monitoring.Key Responsibilities:Architect and deploy comprehensive Splunk solutions encompassing data ingestion, parsing, indexing, and search optimization.Design and sustain custom correlation rules, alerts, dashboards, and visualizations to bolster security monitoring and incident response.Integrate new log sources from infrastructure, security, applications, and cloud systems using best practices (e.g., UF, HF, syslog, APIs).Conduct routine health assessments, performance tuning of indexers and search heads, monitor license usage, and secure configuration backups.Support threat detection efforts by converting security use cases into actionable Splunk queries and alerts.Assist in resolving ingestion failures, parsing issues, and inefficient search queries.Collaborate with SOC, threat intelligence, and infrastructure teams to ensure data relevance, integrity, and quality.Oversee Splunk Enterprise Security (ES) configurations, ensuring CIM compliance, managing notables, and implementing risk-based alerting (RBA).Establish and manage data retention policies and storage optimization aligned with compliance mandates.Automate processes using scripting languages (Python, Bash, PowerShell) and configuration management tools as necessary.Provide technical mentorship and guidance to junior Splunk engineers and analysts.

As a Senior Structural Engineer at Egis Group, you will play a pivotal role in designing and overseeing the construction of complex structures. Your expertise will contribute to innovative engineering solutions that enhance safety and sustainability in our projects.

We are seeking a highly skilled and motivated Senior Engineer specializing in Civil and Roads to join our dynamic team. In this pivotal role, you will be responsible for leading civil engineering projects, ensuring adherence to design standards, and collaborating with interdisciplinary teams to deliver sustainable solutions. If you are passionate about infrastructure development and eager to make a significant impact in the field, we encourage you to apply!

As the SOC Supervisor, you will take charge of the Security Operations Center (SOC), emphasizing expertise in LogRhythm SIEM (preferred) or similar SIEM technologies. Your leadership will ensure continuous 24/7 monitoring, detection, analysis, and response to security threats. You will manage personnel, processes, and technology to deliver exceptional service while aligning with security best practices and business objectives.Key Responsibilities:Provide strategic leadership and operational oversight for the SOC, ensuring proficient delivery of security monitoring and incident response services utilizing LogRhythm SIEM.Establish, implement, and continually refine SOC policies, procedures, playbooks, and operational standards to align with industry best practices.Guarantee 24/7 security monitoring, timely detection, investigation, and response to security incidents across both customer and internal environments.Act as the primary escalation point for high-severity and complex security incidents, ensuring effective coordination, communication, and resolution.Oversee the architecture, administration, tuning, upgrades, and overall performance of the LogRhythm SIEM platform.Lead the development of SIEM use cases, optimize correlation rules, and continuously reduce false positives to enhance detection capabilities.Manage log source onboarding, data quality, retention, and ensure compliance with contractual and regulatory requirements.Direct and manage the complete incident response lifecycle, including root cause analysis, lessons learned, and post-incident reporting.Mentor and develop SOC personnel (L1/L2/L3), including performance management, training plans, and succession planning.Ensure effective shift scheduling, resource planning, and workload distribution to maintain service continuity.Monitor compliance with SLAs, KPIs, internal controls, and customer contractual obligations.Prepare and present operational, technical, and executive-level reports on SOC performance, incidents, and risk trends.Serve as a trusted security advisor to customers and internal stakeholders, providing insights on the threat landscape and risk posture.

Are you passionate about your work and eager to create a meaningful impact in people's lives? Do you aspire to join a dynamic team that thrives on innovation and challenges the status quo?If so, we'd love to have you on board! webook.com stands as Saudi Arabia’s premier event ticketing and experience booking platform, recognized for its cutting-edge technology and robust features. We proudly serve some of the Kingdom's largest mega events, boasting over 2 billion in sales.Key Responsibilities:Design and implement high-quality solutions utilizing HTML, CSS, and JavaScript, with ReactJS as your primary framework.Develop responsive and adaptive web applications that enhance user experiences.Collaborate within an Agile team to develop, test, deploy, and maintain applications, engaging in product backlog grooming, sprint planning, execution, reviews, and retrospectives.Communicate progress effectively with the product team and stakeholders.Maintain and update pattern libraries, style guides, and documentation.Contribute to the establishment of front-end development best practices.

As a Senior Engineer specializing in Wet Utilities, you will play a pivotal role in the design and management of water supply, drainage, and wastewater systems. Your expertise will contribute to significant projects that ensure sustainable water management and infrastructure development. Collaborate with multidisciplinary teams and utilize advanced engineering techniques to deliver innovative solutions.

Job PurposeJoin Tarjama as a Lead Senior Software Engineer, where you'll spearhead and actively engage in every aspect of the software development lifecycle. This role involves working with a diverse array of programming languages and technologies to design, develop, and enhance scalable, high-quality software solutions tailored to meet intricate business demands. Your adaptability in both frontend and backend systems will be crucial as you collaborate with cross-functional teams and mentor junior engineers, cultivating a culture of technical excellence.Duties & ResponsibilitiesCross Functional Collaboration:• Collaborate closely with product, design, development, QA, and DevOps teams to conceptualize and implement innovative software solutions that have a significant impact across various technologies and platforms.• Work with stakeholders to thoroughly comprehend user requirements and convert them into scalable, maintainable technical solutions.• Partner with data teams and infrastructure specialists to enhance system performance, scalability, and reliability.Architecture & System Design:• Craft and execute robust, efficient, and secure software architectures that encompass both server-side and client-side components.• Design scalable, modular, and maintainable solutions using contemporary frameworks, libraries, and cloud-native technologies.• Develop and integrate solutions utilizing both relational and non-relational databases, guaranteeing data consistency and high availability.Development & Implementation:• Lead the full-stack application development process, producing clean, high-quality, and maintainable code across various programming languages and frameworks.• Create and manage APIs, services, and user interfaces to ensure seamless integration between system components.• Design responsive and user-friendly frontends along with performant and secure backends, tailored to project requirements.Testing, Optimization & Maintenance:• Perform thorough testing at all stages (unit, integration, system, and performance testing) to guarantee software reliability and robustness.• Continuously refine code and system architecture for scalability, security, and maintainability.• Proactively troubleshoot, debug, and resolve technical issues throughout the stack to sustain system health.Security & Compliance:• Apply best practices for secure coding and ensure adherence to data protection standards.• Protect applications from vulnerabilities across the entire stack, particularly focusing on secure API development and user data security.Documentation & Best Practices:• Maintain comprehensive and clear technical documentation for codebases, system architectures, and processes to support long-term maintainability.

Join our dynamic team as a Senior AI Engineer / MLOps Engineer, where you will spearhead the design, development, deployment, and optimization of robust, scalable AI and machine learning solutions. We seek an individual with a profound understanding and practical experience in AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, who can effectively convert experimental frameworks into dependable, business-ready systems.This role demands extensive expertise in large language models (LLMs), retrieval-augmented generation (RAG), agentic AI workflows, CI/CD automation, and the management of production ML lifecycles within modern data platforms. The selected candidate will lead comprehensive AI projects, collaborate with both technical and business stakeholders, and uphold operational excellence across AI platforms.Key Responsibilities:Design, develop, deploy, and maintain production-grade AI and machine learning systems from start to finish.Construct and enhance LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI applications.Create intelligent workflows through tool-calling, orchestration frameworks, and contextual reasoning models.Refine, assess, and operationalize machine learning and foundational models for enterprise applications.Build and oversee MLOps pipelines that encompass training, evaluation, model registration, deployment, monitoring, and retraining.Implement CI/CD pipelines for ML and AI workflows to facilitate automated testing, release management, and controlled deployments.Establish model monitoring frameworks to detect drift, attribute features, and track inference quality and performance.Ensure reproducibility, reliability, and version control across AI/ML environments.Architect scalable AI/ML platforms utilizing modern computing, storage, orchestration, monitoring, and search services.Develop reproducible environments employing Infrastructure as Code.Support secure, high-availability, and cost-effective deployment models throughout development, staging, and production phases.Design scalable inference and serving patterns adaptable to fluctuating workloads.Construct and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML utilization.Guarantee data quality, lineage, governance, and versioning to enable reliable model training and inference.Work with both structured and unstructured datasets across data lakes, data warehouses, and operational systems.Deliver analytics-ready datasets to downstream systems and applications.Lead multiple AI initiatives concurrently, including planning, execution, and coordination with internal teams and stakeholders.Collaborate closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.Contribute to architectural decisions, technical documentation, and best practices across teams.

Job SummaryAs the lead for the enterprise data classification program, you will leverage the Fortra Titus platform to establish a robust data governance framework. Your responsibilities include designing a comprehensive labeling taxonomy, engineering enforcement mechanisms across Windows and Microsoft 365 applications, and integrating classification metadata with Forcepoint DLP and Seclore DRM. You will drive user adoption and ensure compliance with SAMA CSF and NCA ECC while serving as the final escalation point for classification issues. Additionally, you will mentor Level 2 engineers and conduct audits related to Data Security controls. Proper implementation of Fortra Titus labeling is crucial for enhancing DLP accuracy and compliance.Tool Stack & Scope (Primary → Adjacent)Primary: Fortra Titus Data Classification Suite (DCS) for Windows & Microsoft Office/Outlook (policy manager, client add-ins, enforcement, audit). Integrations: Forcepoint DLP (consume Titus tags/metadata in policies), Seclore DRM (rights templates driven by classification), SIEM for audit events.Adjacent Toolset: Forcepoint DLP (Email/Host), Seclore DRM, Imperva DAM, Trend Micro (Apex One / ScanMail), Carbon Black EDR, Tripwire/FIM, OPSWAT MetaDefender Kiosk, Data Patrol Watermark, Nexthink (analytics).Key ResponsibilitiesArchitecture & Program OwnershipDefine and maintain the classification taxonomy (labels, markings, handling rules, exceptions) and publish through Titus Policy Manager (SaaS/on-prem).Engineer user-driven and automatic classification in Office/Outlook with mandatory prompts and save/send enforcement; ensure consistent persistent metadata for downstream controls.Align Titus fields with Microsoft sensitivity labels as necessary (coexistence scenarios).Integration & Control EfficacyIntegrate Titus metadata into Forcepoint DLP detection and actions; optimize policy settings to minimize false positives and negatives.Coordinate Seclore DRM policy/rights templates based on classification; ensure protected files remain discoverable by DLP/CASB/SEG where feasible.Onboard SIEM for classification and enforcement events; maintain relevant dashboards and KPIs.Operations, Change & EvidenceOversee configuration lifecycle (versioning, test to production promotion, rollback plans) under ITIL Change; publish SOPs/runbooks and update knowledge articles.

Join our dynamic team as a Security Operations Center (SOC) Analyst L2, where you will be a critical member of our information security monitoring and incident handling team. In this role, you will oversee the management of security incidents and risks, aligning your efforts with our business security requirements. Collaborating closely with IT Teams and various Business Units, you will develop and implement action plans to address identified vulnerabilities and advance our security initiatives.Key Responsibilities:Operate as part of a 24x7 security operations team.Monitor the Security Information and Event Management System (SIEM) and manage all associated security incidents and events.Ensure continuity of operations by following daily procedures related to your role.Respond to security incidents and provide reports on incident management and resolution.Engage in forensic analysis, data recovery, and penetration testing activities.Conduct daily security analyses, scanning, and assessments of information security risks, threats, and vulnerabilities.Research proactively to stay informed about new threats, vulnerabilities, and exploits.Configure and administer security systems and tools effectively.Evaluate necessary security technologies to ensure safe technology operations and detect cyber-attacks.Provide actionable security recommendations to enhance the security posture within the CLIENT Environment.Adhere to all relevant departmental policies, processes, and standard operating procedures to maintain a controlled and consistent workflow.Participate in reviewing and documenting security measures and promoting security initiatives.

About UsWelcome to Foodics! We are at the forefront of restaurant management solutions and payment technology. Established in 2014 and headquartered in Riyadh, we have expanded our presence across five countries, including the UAE, Egypt, Jordan, and Kuwait. Serving customers and partners in over 35 countries worldwide, our innovative products have facilitated the processing of more than 6 billion orders, positioning Foodics as one of the fastest-growing SaaS companies in the MENA region. Recent funding rounds have brought our total to $170 million, making our latest raise the largest SaaS funding round in MENA, further enhancing our capabilities to serve business owners effectively.Role OverviewAs a Senior Data Scientist / Senior ML Engineer, you will spearhead the design, development, and deployment of advanced ML/AI/GenAI models instrumental to Foodics’ core offerings, such as pricing strategies, personalized experiences, and fraud detection. You will work collaboratively with Data Engineers, Product Managers, and Platform teams to create impactful, production-grade models.Your ResponsibilitiesManage the complete ML model lifecycle, including problem framing, data exploration, training, deployment, and monitoring.Design and develop scalable solutions utilizing classical ML and GenAI methodologies.Adopt MLOps best practices, ensuring version control, reproducibility, monitoring, and CI/CD for models.Collaborate with cross-functional squads and platform teams to promote model reusability and adherence to established standards.Mentor junior ML engineers and contribute to the organizational ML knowledge repository.Integrate models with APIs and backend services as necessary.Embrace a

Job OverviewJoin our dynamic team at khibraty as a Mid-Level QA Engineer. In this pivotal role, you will spearhead our quality assurance initiatives, develop and uphold comprehensive QA processes, and guarantee the delivery of exceptional software solutions. Your expertise will shine through hands-on involvement in test automation, API testing, and the integration of cutting-edge AI tools to elevate QA productivity.Key Responsibilities:Establish, implement, and refine QA processes and industry best practices.Design, develop, and maintain automated test scripts for web, mobile, and API applications.Collaborate with product management and development teams to outline testing requirements and acceptance benchmarks.Leverage AI-driven tools to enhance testing efficiency and defect identification.Conduct both manual and automated testing to ensure adherence to functional, performance, and security standards.Monitor QA metrics, identify areas for enhancement, and champion ongoing improvements.

About UsWelcome to Foodics, a cutting-edge restaurant management ecosystem and payment technology provider. Established in 2014 with our headquarters located in Riyadh, we have expanded our presence across five countries, including the UAE, Egypt, Jordan, and Kuwait. Serving customers in over 35 countries globally, we have successfully processed more than 6 billion orders, positioning Foodics as one of the fastest-growing SaaS companies in the MENA region.Role OverviewAs a Senior Back-End Engineer, you will be a vital part of our technology team, responsible for developing, maintaining, testing, and debugging our back-end web applications. Your primary goal will be to ensure the delivery of fully functional and stable applications.Key ResponsibilitiesDefine and oversee the architecture of multiple web applications.Collaborate effectively with designers, engineers, and product managers.Design and implement new features and functionalities.Employ test-driven development practices to produce well-tested code.Tackle complex performance and architectural challenges.Write clean, well-organized code that is easy to understand.Integrate data from various services and databases.Provide guidance and mentorship to junior engineers.Research and advocate for the adoption of new systems and technologies.Identify opportunities to reduce technical debt, enhance performance, and streamline our codebase.Desired Skills and QualificationsAt least 5 years of experience in developing large-scale web applications.Extensive experience with relational databases.Strong expertise in PHP and Laravel; experience in other programming languages is also welcome.Proficient in writing unit and integration tests.Experience designing, implementing, and deploying backend services with an emphasis on high availability, low latency, and data consistency.Solid understanding of REST APIs.Familiarity with Redis and caching mechanisms.Proven ability to lead technical projects in a fast-paced environment.Knowledge of modern queuing and caching systems, particularly Redis.Excellent communication skills and a track record of effective collaboration with diverse stakeholders.Strong analytical and problem-solving skills.Experience in developing fintech applications is a plus.Fluency in English, both written and spoken.Ability to adapt to different time zones and work effectively in a remote setting.Ideal Candidates WillHave participated in the design of large-scale systems, addressing performance, scalability, and latency issues.Possess a solid background in Fintech and Foodtech.

Syarah is building data-driven solutions for automotive e-commerce in the region. The team in Amman is looking for a Senior Data Engineer to strengthen and scale core data systems, analytics, and reporting. This is a hands-on position focused on building and maintaining data pipelines, improving data quality, and generating insights that support decisions across product, operations, and finance. The role centers on developing and sustaining Syarah’s data infrastructure using Google Cloud Platform (GCP). Key Responsibilities Design, build, and maintain scalable data pipelines and ETL processes. Optimize the data platform on GCP, including BigQuery, Dataform, and Cloud Run. Create and manage clean, scalable data models for analytics and reporting. Integrate data from various sources, such as ERP and operational systems. Develop and support APIs (using Flask or similar frameworks) for data access and integration. Monitor and manage data workflows with Airflow or similar tools. Ensure data accuracy, consistency, and reliability across platforms. Support integration of analytics and tracking tools like Mixpanel and Adjust. Build dashboards and reports for business teams. Analyze data to identify trends, issues, and opportunities. Collaborate with finance, product, and operations teams to address data needs. Contribute to automation and internal tools, including AI-related use cases.

We are excited to announce an opportunity for a Senior Backend Engineer with our esteemed client. This role involves architecting, building, and scaling robust backend systems that are essential to powering various products. You will be instrumental in the design of APIs, enhancing system reliability, and advocating for backend best practices. Collaboration will be key as you work closely with product, frontend, and data teams to deliver comprehensive solutions that align with our client's mission.Key ResponsibilitiesLead the design, development, and optimization of backend systems and APIs.Establish and uphold backend engineering best practices, coding standards, and architectural guidelines.Mentor and nurture backend engineers, promoting technical excellence and career development.Work in tandem with product managers, frontend developers, and data/ML teams to define requirements and implement scalable solutions.Ensure high performance, reliability, and security of systems at scale.Champion continuous improvement in CI/CD processes, monitoring, and observability.Engage in strategic technical roadmap planning and system design discussions.Investigate and incorporate emerging technologies to boost backend efficiency and innovation.

Unifonic, a proud recipient of the Great Place to Work® award, is a dynamic SaaS startup that is revolutionizing business communication. Our enthusiastic team of 500 dedicated Unifones is committed to providing outstanding experiences for over 5,000 customer-centric companies.We foster a culture of creativity, collaboration, and enjoyment, where every idea is embraced and honored. As stakeholders in our company, we are not just communicators; we are innovators building the future together. Join Unifonic and be part of something truly remarkable!Join Our Team!The Professional Services team drives the integration of Unifonic’s AI-powered customer experience platform, enhancing customer journeys, marketing, and contact centers to achieve quicker value realization, measurable outcomes, and sustained platform engagement.As a Senior Forward-Deployed Engineer, you will engage directly with enterprise clients to translate their business objectives into functional software solutions. You will oversee the lifecycle from initial care through stabilization and scaling, ensuring a seamless transition to our Support or Transition teams. Your focus will be on developing connector-first solutions and efficient services that are mindful of costs.Key Responsibilities:Engage in discovery sessions with clients across KSA, sketching out architectures, validating constraints, and aligning stakeholders on anticipated outcomes.Design and implement comprehensive integrations across various platforms such as CRMs, ERPs, contact centers, and marketing tools like Freshdesk and HubSpot.Create and manage reusable connectors and workflows utilizing tools like Zapier, Make, or n8n, while documenting templates for consistent application.Craft conversations and data flows for AI-driven experiences, fine-tuning models to uphold quality standards.Engineer robust systems with observability, employing OAuth2 or JWT, Keycloak SSO frameworks, Kong API gateway practices, structured logging, Kibana dashboards, and Postman collections.Ensure rigorous delivery processes, including scope definition, acceptance criteria, risk and dependency management, from hyper-care to stable operation, and subsequent expansion.Orchestrate customer experiences using Flow Studio and Agent Console, providing visibility into key metrics for stakeholders.

Are you passionate about your work and eager to make a real difference? Do you thrive in a dynamic environment that challenges the status quo? If so, we have the perfect opportunity for you!Join webook.com, Saudi Arabia's leading event ticketing and experience booking platform, renowned for its innovative technology and exceptional features. We have facilitated over 2 billion in sales, catering to some of the kingdom's largest mega-events.Key Responsibilities:Create and implement effective solutions using HTML, CSS, and JavaScript within the ReactJS ecosystem.Design and develop responsive and adaptive web applications.Collaborate with an Agile team to develop, test, deploy, and maintain applications, participating in product backlog grooming, sprint planning, execution, review, and retrospectives.Engage with the product team and stakeholders to clearly communicate progress and challenges.Maintain and update pattern libraries, style guides, and documentation.Contribute actively to the advancement of front-end development best practices.

About UsAt Foodics, we are revolutionizing the restaurant management ecosystem as a premier provider of payment technology. Established in 2014, with our headquarters in Riyadh and offices spanning across five countries, including the UAE, Egypt, Jordan, and Kuwait, we proudly serve clients and partners in over 35 nations worldwide. Our cutting-edge products have facilitated the processing of over 6 billion orders, solidifying Foodics as one of the fastest-growing SaaS companies in the MENA region. Recently, we completed our third funding round, securing $170 million in the largest SaaS funding raise in MENA, further enhancing our innovation capabilities to support business owners effectively.Your RoleAs a Senior Data Engineer, you will take charge of designing and constructing robust data pipelines, enforcing data contracts, and creating processing frameworks that drive analytics and machine learning features across Foodics. You will collaborate closely with ML Engineers and platform teams to guarantee the reliability, scalability, and governance of our data infrastructure.Your Responsibilities Architect and implement scalable ETL/ELT pipelines utilizing cloud-native tools. Establish and uphold data contracts with domain teams and internal stakeholders. Partner with ML Engineers on feature engineering and preparing datasets for models. Develop monitoring, alerting, and observability features within the data infrastructure. Ensure data security, lineage, and compliance with internal standards. Contribute to the creation of onboarding toolkits and reusable data components. Your Profile Minimum of 5 years of experience in data engineering, demonstrating proficiency in developing scalable pipelines. Expertise in Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions). Familiarity with modern Lakehouse architectures and tools (e.g., S3, Redshift, Snowflake, dbt). In-depth understanding of data modeling, lineage, observability, and governance frameworks (e.g., dimensional modeling, schema evolution, ML feature stores). Proficiency with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi and experience in managing large datasets with time travel, schema evolution, and transactional guarantees. Experience in developing fault-tolerant, testable, and maintainable data pipelines in production settings. Ability to work effectively in cross-functional teams alongside ML Engineers, Analysts, and Product Managers. Familiarity with CI/CD practices and infrastructure-as-code (preferably Terraform/CDK). Excellent communication skills with a focus on documentation, standards, and continuous improvement. Ideal Candidates Will HaveKnowledge of MLOps integration and streaming technologies.