Principal Databricks Data Engineer

• Principal Databricks Data Engineer
• **Title: Principal Data Engineer – Databricks**

**Key Requirements**

* 12–18 years of overall data engineering experience

* 8+ years of experience in enterprise Data Warehouse and Data Lake platforms

* 5+ years of hands-on experience with Databricks and Spark at scale

* Strong experience in modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse

* Redesign ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake

* Refactor legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines

* Ensure data reconciliation, audit integrity, and consistency during migration

* Design and govern enterprise Data Warehouse and Data Lake/Lakehouse architectures

* Implement layered architecture including Raw/Landing, Curated/Conformed, and Semantic/Consumption layers

* Modernize traditional EDW platforms into scalable lakehouse architectures

* Strong experience in finance and risk data models including General Ledger, Sub-ledger, financial hierarchies, and risk exposure models (credit, liquidity, market risk)

* Enable reporting use cases including aggregation, drill-down, and drill-back capabilities

* Build and manage semantic/consumption layers for BI, reporting, and analytics

* Define business metrics, dimensions, hierarchies, and KPIs

* Experience with Databricks SQL, Delta tables, and dbt or similar frameworks

* Develop and optimize large-scale data pipelines using PySpark, Spark SQL, and Delta Lake

* Implement Medallion architecture (Bronze, Silver, Gold layers)

* Optimize workloads using Z-ORDER, OPTIMIZE, caching, and cluster configurations

* Implement data governance, data quality frameworks, reconciliation controls, and exception handling

* Establish data lineage and metadata management

* Ensure data security, access control, and compliance standards

* Experience with cloud platforms such as AWS or Azure

* Experience with CI/CD pipelines using Git, Terraform, Jenkins, or Azure DevOps

* Familiarity with orchestration tools such as Airflow or Databricks Workflows

* Experience with dbt is a plus

* Act as a technical authority and lead architecture decisions

* Mentor and guide senior engineers and establish engineering standards

* Strong stakeholder management with finance, risk, analytics, and governance teams

* Ability to translate complex data structures into business-ready insights

**Nice to Have**

• * Experience in BFSI, Capital Markets, or regulatory reporting
• * Exposure to SAP Finance, Oracle Financials, or S/4HANA
• * Experience supporting AI/ML workloads
• * Databricks or cloud certifications

**Impact**

• * Lead Cloudera to Databricks transformation initiatives
• * Shape enterprise finance and risk data platforms
• * Support regulatory, management, and analytical reporting systems