Data engineering governance and portfolio

40 member team of Data Engineers and Consultants across offices, ensuring high quality delivery and adherence to standards.
Support transition from project mode to Managed Services – including knowledge transfer, documentation, and platform walkthroughs.
Ensure documentation is up to date for architecture, SOPs, and common issues.
Contribute to service reviews, retrospectives, and continuous improvement planning.
Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders.
Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads.
Act as a coach and mentor to junior team members, promoting skill development and strong
Required Skillset:
ETL or ELT: Azure Data Factory, Databricks, Synapse, dbt (any two – Mandatory).
Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory).
Data Visualization: L...