
Chief Data Architect
16 hours ago
This strategic opportunity enables you to craft and deploy large-scale data platforms, supporting core digital services for millions of users. You will be part of a mission-critical project that places data engineering at the heart of faster, smarter, and safer service delivery.
Key Responsibilities:- Design and maintain scalable, secure data pipelines using Databricks, Spark, Python, and AWS tools (S3, Glue, Redshift)
- Migrate and integrate data from legacy systems into a modern AWS-based ecosystem
- Collaborate with architects, analysts, and technical teams to design end-to-end data solutions
- Apply governance, data quality, and security best practices throughout the data lifecycle
- Guide junior engineers and contribute to engineering standards and reusable components
- Continuously improve pipeline performance, reliability, and automation workflows
Requirements:
- 5+ years in data engineering roles, with hands-on experience in Databricks on AWS
- Strong background in Spark, Python, SQL, and modern orchestration tools (e.g., Airflow, dbt)
- Experience with AWS data ecosystem (e.g., Glue, Redshift, Lambda, Step Functions, DynamoDB)
- Proven track record in cloud migrations, ELT/ETL pipelines, and distributed data processing
- Familiarity with CI/CD practices, Git, and automated testing frameworks
- Deep understanding of data governance, metadata, and privacy frameworks
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