Group Manager- Data Engineering | Azure Databricks | Snowflake SQL | Team Management

About the role

We are looking for a Data Engineering Lead with 8 to 12 years of experience to lead the build of data pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake. You will run the data engineering team, own delivery from source systems through to certified Gold data products, and set the engineering standards the team works to.

What you'll do

• Lead a team of data engineers building ingestion and transformation pipelines
• Deliver ingestion from finance source systems using change data capture, Azure Data Factory batch loads, API and event-driven feeds, and governed manual uploads
• Build the Bronze, Silver and Gold layers in Databricks, including conformed dimensions and Gold data domains
• Build Gold data domains for financial control, FP&A, tax, recharges and project accounting with the Data Architect
• Build data quality, reconciliation and matching checks into pipelines with the data quality team

What you need

• 8–12 yrs of experience
• SQL
• Databricks
• Snowflake
• Azure
• Team management
• Python
• B.Tech or B.E.

Good to have

• Informatica
• General ledger
• SAP
• Treasury
• Azure Data Factory
• Spark