Senior Technical Lead, Data Architecture & Design

Senior Technical Lead:

We are looking for an experienced Senior Technical Lead to lead the end-to-end delivery of scalable secure and high-performing enterprise data built on Azure and Databricks.

The role will work closely with Enterprise Architecture Platform & Engineering Business Analysts Implementation Partners Product Owners
and Service Delivery Teams to ensure successful delivery from solution design through production deployment and transition to service delivery.

What you will do:

• Engage with delivery partners in technical discussions solution reviews and design evaluations.
• Provide technical guidance and oversight throughout the delivery lifecycle to delivery partners.
• Ensure solutions adhere to approved architecture engineering standards governance requirements and best practices.
• Lead the implementation of ETL/ELT pipelines data lakes/lakehouses data warehouses BI integrations and reusable data products.
• Drive alignment on standards across security privacy and compliance requirements with implementation partners.
• Optimize performance scalability reliability and cloud cost efficiency across data platforms and solutions.
• Own end-to-end technical delivery including solution design development testing deployment hypercare and transition to operations.
• Guide teams in following approved CI/CD and version control standards with a strong emphasis on automated consistent and reliable deployments through Azure DevOps.
• Review data solutions technical assessments change-impact analysis and risk identification and mitigation.
• Collaborate with Enterprise Architecture Platform PMO Business Analysts Product teams and other internal cross-functional stakeholders.
• Mentor data engineers and analysts and promote engineering standards design best practices and continuous improvement.

What you need:

• Bachelors degree in Computer Science Data Analytics or a related field. Degree in Statistics and Data Science is an added advantage.
• 10-12 years of related data engineering and architecture experience.
• Strong experience in enterprise data engineering and data architecture.
• Hands-on expertise with Azure Databricks Azure Data Factory/Synapse ADLS SQL Spark/PySpark and Delta Lake.
• Strong understanding of data modeling ETL/ELT architecture data governance security and access-control concepts.
• Experience designing scalable cloud data platforms and optimizing performance and cost.
• Experience with CI/CD and Azure DevOps for automated code promotion and deployment.
• Strong understanding of testing release management production deployment and operational support practices.