Databricks Forward Deployed Engineer :Role Overview :The Databricks Forward Deployed Engineer (FDE) is a senior client-facing engineer embedded with enterprise clients to design, build, and optimise production-grade data platforms on Databricks. The role requires deep Spark and Databricks technical expertise combined with strong client communication skills.Key Responsibilities :Client Engagement & Solution Design :- Lead technical discovery sessions to understand client data platform challenges and objectives- Design end-to-end Lakehouse architectures (Medallion, streaming, batch, and hybrid patterns)- Present architecture recommendations and trade-off analyses to technical and executive stakeholders- Produce solution architecture documents, data flow diagrams, and design decision recordsPlatform Engineering :- Build production data pipelines using PySpark, Spark SQL, and Delta Lake on Databricks- Implement ingestion patterns using AutoLoader, Kafka, and event-driven architectures- Implement SCD Type 1/2/3 and CDC patterns for dimension and fact table management- Optimise Delta Lake tables (OPTIMIZE, VACUUM, Liquid Clustering, Z-Ordering, Deletion Vectors)- Right-size and configure Databricks clusters- Configure Unity Catalog (data lineage, access controls, workspace federation)Performance & Production Engineering :- Diagnose performance bottlenecks using Spark UI- Implement CI/CD pipelines using Databricks Asset Bundles (DABs), GitHub Actions,



or Azure DevOps- Define data quality checks, SLA monitoring, and production alerting frameworksGenAI & Advanced Analytics :- Support GenAI solution design (RAG pipelines, vector store integration, LLM evaluation)- Leverage Mosaic AI and Databricks Genie for ML and analytics workloadsRequired Qualifications :- 5+ years of data engineering experience in production environments- 2+ years of hands-on Databricks or Apache Spark platform delivery at scale- Prior client-facing, consulting, or embedded engineering experienceTechnical Skills :- Deep PySpark and Spark SQL proficiency- Hands-on Delta Lake expertise- Strong Databricks cluster architecture knowledge- Solid SQL (window functions, CTEs, analytical queries)- CI/CD hands-on (DABs, notebooks-as-code)- Unity Catalog or equivalent data governance frameworksCommunication & Soft Skills :- Ability to present complex technical decisions clearly to non-technical stakeholders- Structured problem-solving and ownership mindsetPreferred Qualifications :- Databricks Certified Data Engineer Associate or Professional certification- Experience with Structured Streaming, Delta Live Tables, or Kafka- GenAI / LLM exposure (RAG, vector databases, hallucination mitigation)- Cloud platform experience (Azure preferred, AWS, or GCP)- Prior experience within a DPP, GSI, or consulting delivery model (ref:hirist.tech)

📌 Forward Deployed Engineer - Data Engineering (India)
🏢 Hawk Sense Business Solution
📍 India