Data Architect

Employment Type: 6 months contract (renewable)

Responsibilities:

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.
• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.
• Translate business data requirements into technical specifications and scalable solutions.
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Design and implement secure, cloud-based data infrastructure and access mechanisms.
• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.
• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.
• Collaborate with data stewards to enforce data governance, quality, and security policies.
• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.
• Develop standardized approaches for assessments, discovery, and solutioning
• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements:

• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related disciplines.
• 5-10 years of experience in data engineering, cloud infrastructure, or platform engineering.
• Deep understanding of data system design, data structures, algorithms, and data architecture modelling.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Proficiency in Python and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Familiarity with CI/CD pipelines and infrastructure-as-code practices.
• Experience with Databricks / Snowflake / Denodo and implementing batch/real-time data pipelines.

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