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Sr. Solutions Engineer

Databricks

LocationUnited States
SenioritySenior
CompanyDatabricks
Verified recentlyChecked today
Compensation

Salary not listed

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Experience

4+ years stated

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience

Schedule

unspecified

Benefits stated
Comprehensive benefits and perks; specific benefits vary by region and are not detailed in the listing.

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Databricks is hiring a senior Solutions Engineer for customer-facing technical engagements, including discovery, solution design, platform demonstrations, proofs of concept, and account technical strategy. The listing specifies at least 4 years of relevant experience and proficiency in Python and SQL, plus hands-on experience with at least one major public cloud. Remote locations include California, New York, and the United States; Chicago is also listed without its remote status clarified. No salary or visa sponsorship details are provided.

Role lane

Backend, Customer success, Data, Design and creative, DevOps, Healthcare admin, Medical billing, Software

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

Senior · full_time

Required signals
PythonSQLAWS, Azure, or GCPDistributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or FlinkData engineering, solutions architecture, technical pre-sales, or hands-on consultingTechnical customer discovery, solution design, and architecture reviewsPresentation and demonstration skills
Preferred signals
Databricks PlatformDatabricks certificationUnity CatalogLakeflow Spark Declarative PipelinesMLflowData engineering, data science/ML, or SQL analyticsExperience at a data/AI company, cloud provider, or technical consulting firm
Confirm before applying
  • Required timezone overlap is not stated
  • Compensation is not listed
Market context

Backend hiring on WFH.team

4,932active related roles
1,461new in the latest period
202.7jobs per 100 candidates
$180kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
PythonSQLAWS, Azure, or GCPDistributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or FlinkData engineering, solutions architecture, technical pre-sales, or hands-on consultingTechnical customer discovery, solution design, and architecture reviewsPresentation and demonstration skillsDatabricks PlatformDatabricks certificationUnity CatalogLakeflow Spark Declarative PipelinesMLflowData engineering, data science/ML, or SQL analyticsExperience at a data/AI company, cloud provider, or technical consulting firmRemote roles are listed for California, New York, and the United States; Chicago, Illinois is also listed, but its remot
Job description

Sr. Solutions Engineer at Databricks

Sr. Solutions Engineer

Req FEQ128R76

The role

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

  • Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
  • Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
  • Own frontline technical relationships with customer engineers, data teams, and technical leads
  • Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
  • Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
  • Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

  • 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
  • Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
  • Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
  • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
  • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
  • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
  • Strong presentation and demo skills — you will build and present a live solution during the interview
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have

  • Databricks certification or experience with the Databricks Platform
  • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
  • Background at a data/AI company, cloud provider, or technical consulting firm

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. For specific details on the benefits offered in your region click here .

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.

Company context

Working remotely at Databricks

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.

Headquarters
United States, Canada, United Kingdom, Netherlands, Singapore, Australia, Germany, France, India, Japan, China, Brazil, and Sweden
Team size
1001-5000
Founded
2013
Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Application process

Review current openings on Databricks's official careers page before applying.

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