Full-Time

Senior Forward Deployed Engineer

Healthcare & Life Sciences

Updated on 8/12/2026

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$182k - $250.2k/yr

+ Annual performance bonus + Equity

Atlanta, GA, USA

Hybrid

Candidates in the Central or Eastern Time Zones may also be considered. Travel to customers 20% of the time is required.

Category
Software Engineering (1)
Required Skills
MLOps
Microsoft Azure
Python
JavaScript
Apache Spark
Data Engineering
TypeScript
AWS
Scala
DevOps
Databricks
Data Analysis
Google Cloud Platform

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Requirements
  • At least 6 years of experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to write code in Python, Scala, JavaScript or TypeScript, and modern frameworks.
  • Working knowledge of at least two common cloud ecosystems—Amazon Web Services, Microsoft Azure, or Google Cloud Platform—with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • Familiarity with continuous integration and continuous delivery for production deployments.
  • Working knowledge of machine learning operations, machine learning and artificial intelligence models, and artificial intelligence application programming interfaces.
  • Experience designing and deploying performant, production-grade, end-to-end data architectures and applications combining data pipelines, machine learning or artificial intelligence models, and user-facing interfaces.
  • Experience delivering technical projects, including managing scope and timelines, measuring outcomes, and translating complex concepts into actionable solutions.
  • Documentation and whiteboarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad range of stakeholders.
  • Databricks Certification.
  • Willingness to travel to customers 20% of the time.
Responsibilities
  • Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures and custom applications, and integrating data ingestion with machine learning and artificial intelligence models.
  • Guide strategic customers through transformational big data projects, including end-to-end design, build, and deployment of big data and artificial intelligence applications.
  • Work with engagement managers to scope technical delivery work with customer input.
  • Guide customers on architecture and design, and bootstrap or implement customer projects to support their understanding, evaluation, and adoption of Databricks.
  • Lead architecture and design decisions, ensuring solutions are secure, scalable, aligned with customer needs, and consistent with Databricks best practices.
  • Work with the Databricks technical team, project manager, architect, and customer team to deliver the technical components of engagements according to customer needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution of engagement-specific product and support issues.
  • Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives to understand challenges and deliver impact.
  • Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$30.1B

Headquarters

San Francisco, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Coatue's July 2026 round reportedly valued Databricks at $188 billion.
  • Databricks said Lakebase handles 12 million launches daily and powers thousands of customers.
  • Asia Pacific hiring accelerated in 2026, with Singapore headquarters plans and 85% growth.

What critics are saying

  • Judge Breyer let the authors' copyright class action continue on April 23, 2026.
  • Poulin Holdings sued on March 11, 2026, targeting Feature Store, MLflow, Unity Catalog, Marketplace.
  • Microsoft Fabric and Snowflake compress Databricks' differentiation as LTAP's copy claims face criticism.

What makes Databricks unique

  • Databricks pairs Lakehouse, Lakebase, and Unity Catalog into one governed data plane.
  • LTAP unifies OLTP, OLAP, and streaming on object storage, unlike legacy stacks.
  • Apache Spark heritage and open Delta, Iceberg, and Postgres compatibility reduce switching friction.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
TechDay
Aug 12th, 2026
Databricks buys Electric to power AI agent sandboxes

The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.

Tech in Asia
Jul 28th, 2026
Databricks hires ex-AWS executive to lead Asia partners amid 85% growth

Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.

Tech in Asia
Jul 17th, 2026
Coatue leads $3B Databricks investment at $134B valuation

Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.

StreetInsider
Jul 17th, 2026
Databricks valued at $188 billion after Coatue-led investment, WSJ reports

July 16 (Reuters) - Investment firm Coatue Management is leading a $3 billion investment in data analytics provider Databricks that values the company at $188 billion, the Wall Street Journal reported on Thursday, citing people familiar with the matter....

Associated Press
Jul 16th, 2026
Qumulo partners with Databricks to enable real-time AI data access across distributed environments

Qumulo has partnered with Databricks to integrate its NeuralSearch platform with Databricks OpenSharing protocol. The collaboration enables customers to discover, query, and collaborate on data across core, cloud, and edge environments without replicating it. NeuralSearch is Qumulo's storage-native search platform that transforms unstructured data into searchable intelligence using SQL, natural language, and semantic search. The integration allows users to access datasets across on-premises locations, remote sites, and cloud regions without data replication. The partnership addresses challenges for Chief Data Officers managing massive unstructured datasets whilst accelerating AI time-to-value. It supports Generative AI, Retrieval-Augmented Generation applications, and advanced analytics by connecting Databricks compute directly to Qumulo's edge-to-core storage framework. The collaboration provides unified governance through Databricks Unity Catalog and supports open table formats including Apache Iceberg and Delta Lake.