Technical Lead: Data Warehouse & Analytics
Posted 8 weeks ago
Role Snapshot:
Lead end-to-end enterprise Data Warehouse & Analytics platforms across cloud and on-prem. Own architecture, data pipelines, BI, governance, and team delivery.
Job Description
Key Responsibilities:
- Architect & lead DWH, Data Lake/Lakehouse & Analytics platforms
- Own data ingestion, ETL/ELT, transformation & reporting
- Build executive dashboards & self-service BI
- Implement Data Governance, Data Quality, MDM & security
- Lead cloud & hybrid platforms (Azure / AWS / Snowflake / Databricks)
- Modernize legacy DWH to cloud
- Lead & mentor data engineers / BI teams
- Work with business to translate KPIs into data solutions
Skills
- data ingestion
- Data Governance
- Data Quality
- MDM & security
- Data Warehouse & Analytics
- team management
- legacy modernization
- data solutions
Candidate Profile
Must-Have Skills:
- Strong DWH & Data Engineering background (end-to-end)
- Dimensional modeling (Star/Snowflake)
- ETL tools: ADF / Informatica / Talend / SSIS / Glue
- BI tools: Power BI / Tableau / Looker / Qlik
- SQL strong | Python/R preferred
- Data governance, privacy & compliance exposure
Good to Have:
- AI/ML enablement exposure
- Domains: Aviation / Sports / Large enterprise analytics
