About the job
Join Us in Shaping the Future of AI & Data
At Datatonic, a leading partner of Google Cloud in AI, we are at the forefront of transforming the business landscape for renowned organizations. We harness the potential of cutting-edge technology, specializing in machine learning, data engineering, and analytics, all on the Google Cloud platform. Partnering with us enables clients to secure their future, extract actionable insights, and maintain a competitive edge in an ever-changing environment.
Your Role
As a Principal Data Architect, you will be essential in crafting and executing advanced, scalable data solutions tailored to our clients' needs. Collaborating closely with the Data & Analytics Engineering teams, you will architect, build, and enhance innovative data platforms or transition existing solutions to Google Cloud.
This role represents an extraordinary chance for a seasoned data professional with a passion for utilizing cloud technologies to foster innovation and operational efficiency. You will engage with our clients to comprehend their business goals, gather requirements, and design high-performance data architectures that deliver results. If you thrive in a dynamic, technology-centric consulting setting and aspire to make a meaningful contribution to transformative projects, this position is perfect for you.
Key Responsibilities
Innovate and Deliver Advanced Data Solutions: Spearhead the analysis, design, and implementation of state-of-the-art, data-driven solutions tailored to fulfill our clients' business demands, utilizing the latest Google Cloud technologies.
Data Architecture and Governance: Act as a specialist in data transformation, storage, retrieval, security, and governance, ensuring the delivery of scalable, secure, and efficient data solutions.
Mentor and Guide Engineers: Provide architectural guidance to engineers, ensuring the development of robust, high-performance solutions consistent with the intended data architecture.
Expertise in Data Modeling: Employ your knowledge of various data modeling techniques, including 3NF, Data Vault, Star Schema, and One Big Table (OBT), articulating the advantages and trade-offs of each method while optimizing their implementation in columnar databases like BigQuery.
Influence Data Strategy: Collaborate with clients to establish and refine their data strategy, focusing on aspects such as:
- Data governance and compliance
- Scalable architecture
- Performance optimization

