Data Architect Job SiiRA

  • Kenya
  • Permanent
  • Full-time
  • 2 days ago
We're seeking a seasoned Data Architect with deep expertise in big data environments to design, optimize, and lead scalable data architecture across our cutting-edge platforms. In this role, you'll be at the heart of enabling real-time audience insights, advanced targeting, and campaign intelligence-driving innovation at the intersection of data, media, and technology.Key Responsibilities:
  • Architect Data Models: Design and refine conceptual, logical, and physical data models tailored for media and advertising use cases (e.g., impression tracking, campaign analytics, audience segmentation).
  • Lead Data Strategy: Define and implement end-to-end data architecture strategies, ensuring performance, scalability, reliability, and security.
  • Build Data Pipelines: Own the development and maintenance of efficient, high-throughput data pipelines powering both real-time streaming and batch analytics.
  • Optimize Performance: Conduct rigorous system testing, troubleshooting, and continuous improvement by adopting the latest data innovations.
  • Collaborate Cross-Functionally: Partner with engineering, data science, and product teams to support personalization, audience intelligence, and dynamic reporting initiatives.
  • Stay Ahead: Explore, evaluate, and integrate modern data technologies released within the last 2-3 years, ensuring our platforms remain industry-leading.
Qualifications:
  • 10+ years in data architecture and modeling, with expertise in relational and distributed data systems.
  • 3+ years managing big data environments (100TB+), ideally in media, advertising, or marketing technology.
  • Advanced proficiency in SQL, Python, and ERD modeling.
  • Strong hands-on experience with Google Cloud Platform (BigQuery, GCS, Cloud Functions, Cloud Composer).
  • Proven expertise with DBT (Data Build Tool) for data modeling and transformation.
  • Familiarity with BI & reporting tools such as Looker, Tableau, or similar.
  • Deep understanding of data lakes, warehouses, and large-scale architectures for high-throughput environments.
  • Strong knowledge of data mining, segmentation, and programmatic advertising datasets.
  • Demonstrated ability to design, optimize, and maintain pipelines for complex ad tech/media datasets.
  • Knowledge of modern data technologies (released in the last 2-3 years), and a drive to apply them in production environments.
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