Specialist Solutions Architect – Data Engineering (Public Sector)


Washington, United States


To adjust to U.S. federal authorities necessities, U.S. citizenship is required for this place. This function could be distant, nonetheless candidates should reside within the Washington, D.C., Maryland or Virginia space.

As a Specialist Options Architect (SSA) – Knowledge Engineering on the Public Sector group, you’ll information clients in constructing massive knowledge options on Databricks that span a big number of use circumstances. You can be in a customer-facing function, working with and supporting Answer Architects, that requires hands-on manufacturing expertise with Apache Spark™ and experience in different knowledge applied sciences. SSAs assist clients by way of design and profitable implementation of important workloads whereas aligning their technical roadmap for increasing the utilization of the Databricks Knowledge Intelligence Platform. As a deep go-to-expert reporting to the Specialist Area Engineering Supervisor, you’ll proceed to strengthen your technical abilities by way of mentorship, studying, and inner coaching packages and set up your self in an space of specialty – whether or not that be streaming, efficiency tuning, trade experience, or extra.

The influence you should have:

  • Present technical management to information strategic clients to profitable implementations on massive knowledge initiatives, starting from architectural design to knowledge engineering to mannequin deployment
  • Architect manufacturing degree knowledge pipelines, together with end-to-end pipeline load efficiency testing and optimization
  • Grow to be a technical knowledgeable in an space reminiscent of knowledge lake expertise, massive knowledge streaming, or massive knowledge ingestion and workflows
  • Help Answer Architects with extra superior features of the technical sale together with customized proof of idea content material, estimating workload sizing, and customized architectures
  • Present tutorials and coaching to enhance group adoption (together with hackathons and convention shows)
  • Contribute to the Databricks Neighborhood

What we search for:

  • Have to be eligible and keen to be processed for a U.S. Authorities clearance
  • [Preferred] DoD Secret or High Secret Clearance
  • 5+ years expertise in a technical function with experience in at the very least one of many following:
    • Software program Engineering/Knowledge Engineering: knowledge ingestion, streaming applied sciences – reminiscent of Spark Streaming and Kafka, efficiency tuning, troubleshooting, and debugging Spark or different massive knowledge options
    • Knowledge Purposes Engineering: Construct use circumstances that use knowledge – reminiscent of threat modeling, fraud detection, buyer life-time worth
  • In depth expertise constructing massive knowledge pipelines
  • Expertise sustaining and lengthening manufacturing knowledge techniques to evolve with advanced wants
  • Deep Specialty Experience in at the very least one of many following areas:
    • Expertise scaling massive knowledge workloads which are performant and cost-effective
    • Expertise with Growth Instruments for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI instruments and SQL Interfaces (e.g. Jenkins)
    • Expertise designing knowledge options on cloud infrastructure and providers, reminiscent of AWS, Azure, or GCP utilizing greatest practices in cloud safety and networking
    • Expertise implementing trade particular knowledge analytics use circumstances
  • Manufacturing programming expertise in SQL and Python, Scala, or Java
  • 2 years skilled expertise with Massive Knowledge applied sciences (e.g. Spark, Hadoop, Kafka) and architectures
  • 2 years customer-facing expertise in a pre-sales or post-sales function
  • Can meet expectations for technical coaching and role-specific outcomes inside 6 months of rent
  • Bachelor’s diploma in Laptop Science, Data Methods, Engineering, or equal expertise by way of work expertise
  • Capability to journey as much as 30% when wanted in and across the DMV space


  • Medical, Dental, and Imaginative and prescient
  • 401(ok) Plan
  • FSA, HSA and Commuter Profit Plans
  • Fairness Awards
  • Versatile Time Off
  • Paid Parental Go away
  • Household Planning
  • Health Reimbursement
  • Annual Profession Growth Fund
  • Residence Workplace/Work Headphones Reimbursement
  • Worker Help Program (EAP) 
  • Enterprise Journey Accident Insurance coverage
  • Psychological Wellness Assets

Pay Vary Transparency

Databricks is dedicated to truthful and equitable compensation practices. The pay vary(s) for this function is listed under and represents base wage vary for non-commissionable roles or on-target earnings for commissionable roles.  Precise compensation packages are primarily based on a number of elements which are distinctive to every candidate, together with however not restricted to job-related abilities, depth of expertise, related certifications and coaching, and particular work location. Primarily based on the elements above, Databricks makes use of the complete width of the vary. The whole compensation package deal for this place can also embody eligibility for annual efficiency bonus, fairness, and the advantages listed above. For extra info relating to which vary your location is in go to our web page here.


Zone 2 Pay Vary
$139,700$247,300 USD

About Databricks

Databricks is the info and AI firm. Greater than 10,000 organizations worldwide — together with Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — depend on the Databricks Knowledge Intelligence Platform to unify and democratize knowledge, analytics and AI. Databricks is headquartered in San Francisco, with places of work across the globe and was based by the unique creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To study extra, observe Databricks on TwitterLinkedIn and Facebook.

Our Dedication to Variety and Inclusion

At Databricks, we’re dedicated to fostering a various and inclusive tradition the place everybody can excel. We take nice care to make sure that our hiring practices are inclusive and meet equal employment alternative requirements. People searching for employment at Databricks are thought-about with out regard to age, colour, incapacity, ethnicity, household or marital standing, gender identification or expression, language, nationwide origin, bodily and psychological means, political affiliation, race, faith, sexual orientation, socio-economic standing, veteran standing, and different protected traits.



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