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Enterprise Data Engineer

OMW Consulting New York City Metropolitan Area
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Bridge the gap between product and complex enterprise data environments. Deploy the platform, design tailored workflows, and drive adoption. Collaborate with clients and provide technical guidance.

Key Highlights
Own end-to-end deployment within enterprise accounts
Design and customize workflows to deliver value quickly
Solve technical issues in real time across the stack
Key Responsibilities
Own end-to-end deployment within enterprise accounts
Design and customize workflows to deliver value quickly
Solve technical issues in real time across the stack
Act as a key feedback loop to engineering
Support pre-sales efforts with tailored demos and proof-of-concepts
Build strong client relationships and act as a trusted technical advisor
Technical Skills Required
Snowflake AWS Databricks Python SQL Docker APIs
Benefits & Perks
Salary: $160K – $200K
Competitive equity package
Hybrid working model
Visa sponsorship available

Job Description


Forward Deployed Engineer

Full-time | Hybrid

New York, NY, United States

$160,000 – $200,000 (depending on experience) + equity


About the Role


My client is looking for a Forward Deployed Engineer to bridge the gap between their product and complex enterprise data environments. You’ll work directly with high-value clients—both on-site and remotely—to deploy the platform, design tailored workflows, and drive adoption.

This isn’t a traditional solutions or support role. You’ll operate with the autonomy of an early-stage engineer, building real integrations across client environments while feeding insights back into core product development.


What You’ll Do

  • Own end-to-end deployment within enterprise accounts, configuring the platform and integrating with existing data infrastructure
  • Design and customise workflows (“blueprints”) to deliver value quickly
  • Solve technical issues in real time across the stack (AWS, Snowflake, Docker, Python, APIs, etc.)
  • Act as a key feedback loop to engineering—translating client challenges into product improvements
  • Support pre-sales efforts with tailored demos and proof-of-concepts (e.g. data pipelines, analytics tools, AI-driven workflows)
  • Build strong client relationships and act as a trusted technical advisor


What We’re Looking For

  • 5+ years in a technical, client-facing role (solutions engineering, forward deployed, or similar)
  • Strong experience with modern data stacks (e.g. Snowflake, Databricks, AWS)
  • Proficiency in Python, SQL, and working with APIs
  • Comfortable debugging across infrastructure and application layers
  • Ability to operate autonomously in fast-paced, ambiguous environments
  • Strong communication skills and client presence


Tech Stack

Snowflake, AWS, Databricks, Python, SQL, Docker, dbt, Airflow


Compensation & Benefits

  • Salary: $160K – $200K
  • Competitive equity package
  • Visa sponsorship available (case-by-case)
  • Hybrid working model (NYC-based for client engagement)


About the Company


My client is building autonomous AI data agents designed for enterprise data engineering teams. Their platform automates complex workflows such as data mapping, pipeline creation, testing, documentation, and ongoing optimisation.

Founded by experienced leaders in enterprise data platforms, the company is helping organisations reduce development cycles from months to hours, significantly cut manual work, and scale engineering output. Their technology integrates seamlessly with modern data stacks and operates securely within client environments.


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