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Staff Forward Deployed Engineer
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HighLevel —Remote
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Enterprise Solution Engineer
Sprinto —Remote
Design and execute proof-of-concepts (POCs), sandbox evaluations, solution architectures, and business cases with clearly defined success criteria.
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Sr. Software Development Engineer - Workday & Enterprise Systems
Avalara —Remote
Soft Skills: Experience approaching a problem from different angles, analyzing pros and cons of different solutions; Experience communicating updates and…
21h

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Staff Forward Deployed Engineer

Databricks -
Remote

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Job details

Qualifications

Azure
MCP
Big data
Software deployment
Spark
AWS
Product development
Scala
Unity
Kafka
AI
Python

Full job description

CSQ427R195

As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors.

The impact you will have:

Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.
Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.
Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.
Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.

What we look for:

15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
6+ years of experience working on Big Data Architectures independently
2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc.
Strong experience working in the Databricks ecosystem
Comfortable writing code in either Python or Scala.
Experience working across Cloud Platforms (GCP / AWS / Azure)
Documentation and white-boarding skills.
Excellent problem solving and critical thinking skills that turn business problems in to reliable technical products
Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
Excellent stakeholder management skills to collaborate with both technical and domain experts
Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Staff Forward Deployed Engineer

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Lead Security Engineer (Cloud Security & Architecture)

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