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Senior Principal Data Engineering Lead

CygnifySingapore
On-site Full-time

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Experience Level

Senior

Qualifications

Qualifications:8-12 years of experience in cloud-native data engineering, with a strong background in architecture and delivery on AWS. Demonstrated capability in leading cross-functional and hybrid engineering teams, including vendor-augmented resources. Experience collaborating with BI and business teams to design modeled datasets and drive self-service analytics. Deep hands-on technical expertise, including proficiency with Snowflake: schema design, Streams/Tasks, Stored Procedures, UDFs, RBAC, performance tuning, Cortex AI, Streamlit, and cost monitoring. Familiarity with Airflow or similar data orchestration tools for orchestration, scheduling, and dependency management.

About the job

We are seeking a dynamic leader to head and expand the Data Engineering, DataOps, and Data Stewardship functions within our Data organization. This pivotal role is responsible for the flawless end-to-end delivery of our cloud-native data platform, encompassing data ingestion, transformation, modeling, and operational management, thereby facilitating reliable, high-quality, and self-service analytics across various business domains.

Key Responsibilities:

  • Team Leadership: Attract, mentor, and guide a diverse team of data engineers and stewards across Singapore, Malaysia, and India, fostering in-house technical expertise and accountability for project delivery.

  • Data Engineering Delivery: Supervise the design, development, and optimization of ELT/ETL pipelines and data models, ensuring workflows are scalable, reusable, and cost-effective.

  • Data Quality & Stewardship: Establish stewardship protocols — define ownership frameworks, implement data quality monitoring, and drive remediation processes in collaboration with cross-functional data users.

  • Operational Excellence: Oversee daily pipeline operations, ensuring SLA adherence and effective resolution of production issues through thorough root-cause analysis and a focus on continuous improvement.

  • Technical Governance: Establish engineering standards for observability, role-based access control (RBAC), cost tagging, and continuous integration/continuous deployment (CI/CD) practices.

  • Collaboration & Enablement: Foster self-service analytics by curating reliable datasets and modeled views in partnership with BI and business teams.

About Cygnify

At Cygnify, we are committed to empowering organizations through innovative data solutions. Our focus on cutting-edge technology and exceptional talent fosters an environment where data engineers can thrive and drive impactful results.

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