Forward Deployment Engineer

EXL

Forward Deployment Engineer responsible for deploying EXLdata.ai in client cloud environments. Collaborating with client teams to ensure successful deployment and adoption.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPySparkPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

6–12+ years as a Senior Data Engineer, Forward Deployment Engineer, or Platform Engineer
Strong hands-on experience with 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
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
Can-do attitude; thrives in ambiguity
Fast learner; bias for action
Customer-first orientation and passion for delivering measurable outcomes.

Benefits

Comp & perks

EXL never requires fees or payments during the hiring process
Formal interview process

ATS Keywords

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Hard Skills & Tools

PySparkSQLPythonDatabricksSnowflakeKubernetesDockerCI/CDCloud data servicesAWS

Soft Skills

strong communication skillscan-do attitudefast learnercustomer-first orientationability to work with client engineering teamscomfortable running design discussionsdebugging sessionsdeployment workshopsthrives in ambiguitybias for action