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We make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay
Forward Deployment Engineer
Location
United States
Posted
83 days ago
Salary
$130K - $150K / year
Seniority
Senior
Job Description
Forward Deployment Engineer
EXL
• Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP) • Resolve infra, security, and data pipeline issues in real time • Customize accelerators and agent workflows for client-specific needs • Drive measurable value realization from Day 1 • Champion product enhancements back to the EXLdata.ai engineering team • Deliver white-glove support for clients using our managed platform offering
Job Requirements
- 6–12+ years as a Senior Data Engineer, Forward Deployment Engineer, or Platform Engineer.
- Strong hands-on experience with at least one hyperscaler (AWS or Azure or GCP).
- Deep expertise in:
- PySpark, SQL, Python
- Databricks / Snowflake (one mandatory, both preferred)
- Cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.)
- Kubernetes, Docker, CI/CD
- IAM, VPC, private networking, secrets, API management
- Demonstrated ability to work directly with client engineering teams.
- Comfortable running design discussions, debugging sessions, and deployment workshops.
- Strong communication skills; able to simplify technical topics for business audiences.
- Ability to operate independently with a consulting mindset and ownership mentality.
- Exposure to LLMs, agent tooling (LangChain, LangGraph, CrewAI, etc.), or willingness to learn fast.
- Strong interest in how AI can automate data engineering and governance.
- "Can-do" attitude; thrives in ambiguity.
- Fast learner; bias for action.
- Team player who collaborates across product, engineering, and client teams.
- Customer-first orientation and passion for delivering measurable outcomes.
Benefits
- EXL never requires fees or payments during the hiring process
- Formal interview process
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