Forward Deployed Engineer

Prodcon Tech Services • IT Infrastructure & Networking Services • IT Consulting & Digital Transformation • SQL • 13 days ago
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Salary
≈ $34k – $82k per year (Estimated)
Location
In office (India)
Seniority
Staff · 9+ years exp

First seen by Alion on Sep 14, 2026.

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Prodcon Tech Services

Prodcon provides accountable technology, talent, IT infrastructure and digital solutions for organisations across India. Explore our solutions or talk to our team.
prodcon.com • Mumbai • Bengaluru • IT Consulting & Digital Transformation • IT Staffing & Staff Augmentation • IT Infrastructure & Networking Services

Senior Databricks Engineer/Forward Deployed Engineer

Job Summary :

We are looking for a Forward Deployed Engineer (FDE) with strong expertise in multi-cloud data engineering and modern data platforms. The role requires hands-on experience with cloud data engineering services across Azure, AWS, or GCP, along with the Databricks Lakehouse Platform and Snowflake.

Key Responsibilities :

- Design, develop, and maintain scalable data engineering solutions across multi-cloud environments.

- Build and optimize data pipelines using cloud-native data engineering services.

- Develop and manage data solutions using the Databricks Lakehouse Platform.

- Implement Delta Lake for reliable and scalable data storage and processing.

- Configure and manage Unity Catalog for data governance, access control, and metadata management.

- Develop and maintain Delta Live Tables pipelines for data processing and transformation.

- Design, implement, and manage Databricks Workflows for pipeline orchestration and automation.

- Use Databricks SQL for data analysis, querying, and performance optimization.

- Work with Snowflake for data warehousing and analytics solutions.

- Collaborate with customers and internal teams to understand business requirements and deliver tailored data engineering solutions.

- Act as a Forward Deployed Engineer by working closely with customers to implement, troubleshoot, and optimize data platforms.

- Identify performance bottlenecks and optimize data pipelines, queries, and data processing workloads.

Tech Stack :

- Cloud: Azure, AWS, or GCP (ADF, S3, Glue, Redshift, BigQuery, Dataflow)

- Databricks: Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, Databricks SQL

- Data Warehousing: Snowflake

Required Qualifications :

- Strong experience in data engineering and modern cloud data platforms.

- Ability to design, implement, and optimize scalable data pipelines.

- Strong analytical, troubleshooting, and problem-solving skills.

- Excellent communication and customer-facing skills.

- Ability to work independently and manage multiple technical requirements in a fast-paced environment.

Skills

Azure Databricks, Delta Lake, AWS, Azure, Google Cloud Platform, Data Engineering, Troubleshooting, Snowflake DB

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