Big Data Lead

Mandatory Skills ADB \+ DBT Job Summary: Designs, builds, and maintains scalable data ingestion, transformation, and serving layers to deliver governed, reusable datasets for analytics, ML, and operational use cases. Main Responsibilities: Develop robust ETL/ELT pipelines and data models aligned to enterprise standards and data contracts. Write performant SQL/Python; optimize storage/compute for cost and speed. Implement automated testing, data quality checks, and observability (lineage, metrics, alerts). Collaborate with MDM, Metadata, Analytics, and Security on trust, discoverability, and compliant access. Document sources, transformations, data products, and runbooks. Define patterns/reference architecture/ implementations; lead complex integrations/migrations. Embed security/privacy controls (masking, tokenization, RBAC/ABAC); mentor engineers. Independently leads projects; acts as tech lead; ensures cross\-team alignment. Streaming (Kafka/Kinesis/Event Hubs), CDC, micro\-batch; Data Quality \& lineage platforms Qualifications: 6\+ years relevant; certifications a plus. Bachelor’s Degree or equivalent work experience (One\-year relevant experience is equivalent to one\-year college) Preferred Qualifications: Advanced SQL; Python/Scala; dbt; orchestration (Airflow/ADF/Prefect); dimensional \& data vault; IaC basics (Terraform/Bicep). DWH/lakehouse basics (Parquet/Delta) Familiarity with Modern Cloud Architecture (Azure, AWS) Familiarity data contracts, CI/CD for data.