Senior Forward Deployed Engineer - Databricks Apps

Company: Lumenalta
Location: Remote
Type: Remote
Posted: Nov 14, 2026
Views: 2

✨ AI Summary

Lumenalta, a Databricks partner in the data engineering space, is hiring a Senior Forward Deployed Engineer for a remote role building applications for a major US health insurer. The tech stack includes Databricks (Unity Catalog, Delta Lake), React, TypeScript, and Python. Candidates require 8+ years of experience with a strong background in client-facing consulting, full-stack development, and Databricks production environments.

#### About the Role
We partner with global enterprises to design and build large-scale data platforms that power the products and operations at the center of their business. This engagement is an enterprise data mesh on Databricks for a major US health insurer, spanning finance, membership, claims, and clinical data.

The goal is to turn governed data into products the business actually uses. The platform team is standardizing how data products are published, discovered, and subscribed to across the enterprise. Your job is the layer people touch: the applications that put those data products in front of business users.

This is a forward-deployed, lead-level role. You will be embedded with the client, working inside their teams and environments, and you will own the result, not just the code. You will set the direction for the applications and the data access layer behind them, decide how they get built, and build them. You will also be Lumenalta's go-to technical person on the account: the one client stakeholders turn to for technical advice, and the one who turns their needs into what gets shipped.

#### What You'll Do

  • Lead discovery and use case sessions with client stakeholders, translating business needs into application scope, and own that scope as it evolves.
  • Advise client stakeholders on technical direction, trade-offs, and what is realistic to deliver, as Lumenalta's lead technical voice on the account.
  • Set the direction for the application and data access layer, including architecture, patterns, and standards that other engineers build on.
  • Lead the design of the consumption patterns (API, CLI, and GUI) that downstream AI and analytics applications will use to access data products.
  • Build and ship Databricks applications with React front ends that let business users discover, explore, and act on governed data products.
  • Build the backend services and APIs that connect your applications to Databricks, including SQL warehouses, Unity Catalog–registered data products, and downstream consumers.
  • Work with the UX/UI designer to turn designs into polished, usable interfaces, and push back when a design and the underlying data do not line up.
  • Develop against synthetic and representative data first, then connect to production sources once access is granted, without rework.
  • Own CI/CD, monitoring, and the operational runbook for the applications you build.
  • Collaborate closely with data engineers on output schemas, data contracts, and pipeline dependencies.

#### What We're Looking For

  • 8+ years of professional software engineering experience, including experience as a tech lead or in client-facing consulting roles.
  • Hands-on production experience with Databricks, including Unity Catalog, Databricks SQL, Delta Lake, and Databricks Apps.
  • Solid hands-on experience with React and TypeScript.
  • Experience building APIs with modern programming languages such as TypeScript and Python.
  • Strong SQL and comfort working close to data: schemas, query performance, and the trade-offs of how an application reads from a warehouse.
  • Experience shipping applications end-to-end, including CI/CD, monitoring, and production support.
  • Ability to work from representative or mock data and design for a clean switch to production sources.
  • Experience leading discovery, owning scope, and advising client stakeholders on technical decisions.
  • A skilled communicator who can work directly with client stakeholders, designers, and data engineers, and drive decisions in a multi-team environment.
  • Fluent in English, both written and spoken.

#### Nice to Have

  • Experience building data discovery, catalog, or marketplace-style applications.
  • Experience in a forward-deployed engineering or embedded consulting role.
  • Background in healthcare or other regulated industries.
  • Familiarity with AWS, including services such as SageMaker or Bedrock.
  • Experience integrating AI-native tooling into engineering workflows.

#### Why Lumenalta is an amazing place to work at
At Lumenalta, you can expect that you will:

  • Be 100% dedicated to one project at a time so that you can innovate and grow.
  • Be a part of a team of talented and friendly senior-level developers.
  • Work on projects that allow you to use leading tech.

For Databricks practitioners specifically, we are a Databricks partner with Champions and MVPs on our team, and that carries three concrete things:

  • **Delivery Partner Program qualification**. Databricks co-delivers its Professional Services engagements through a short list of approved partner organizations, and practitioners have to be individually qualified before they can work on them. The qualification is granted once at the individual level and does not expire, so it stays with you. Partner organizations are the route in, so the qualified pool stays small. That scarcity is most of the value, and we sponsor it.
  • **Champion path**. Databricks Champion is an individual recognition with its own badge, a dedicated Databricks solutions architect as your mentor, access to product teams, confidential roadmap briefings, and an invitation to the internal Tech Summit. Nomination has to come from a partner organization, which puts it out of reach for independents and most contractors. We nominate actively and regularly, and the Champions already on our team mentor candidates through it.
  • **Certifications covered**. We pay the exam fee for any Databricks certification you want to take.

#### Our Process
A screening call, a technical interview, and a HackerRank assessment.
The technical interview is a conversation rather than a whiteboard exam. We will ask you to walk through an application you shipped on top of a data platform, how you set its direction and structured the frontend and backend, how you handled data access and performance, how you worked with client stakeholders, and what you would change. Relevant project experience matters more to us than certifications.

#### Location
This role is remote within the United States only. Candidates must reside in the United States while assigned to our client and be physically located within the United States when performing project work or accessing project systems or data. Availability to work overlapping Pacific, Central, or Eastern U.S. time zones.

#### Application Deadline
Applications will be accepted until **November 22nd, 2026**. Candidates can expect feedback by **November 30th, 2026**.

About the Company

Name: Lumenalta

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