Sr. Specialist Solutions Architect - Data Engineering & Spark
Company: Databricks Inc.
Location: San Francisco
Posted on: May 7, 2025
Job Description:
This role requires candidates to work onsite in San Francisco,
CA, 3-4 times a week and to have hands-on experience with Apache
Spark.We're hiring a Specialist Solutions Architect (SSA) to
support a strategic enterprise customer as they scale their
adoption of Databricks. This is a hands-on, data
engineering-focused role where you'll work side-by-side with the
customer's technical teams to build robust, production-ready data
and AI pipelines. You'll play a critical role in guiding
architectural decisions, helping the customer optimize their Spark
workloads, and ensuring a successful deployment of Databricks
across their organization. From building scalable data pipelines to
troubleshooting complex Spark jobs, your work will directly impact
how this organization extracts value from their data. This is an
opportunity to lead from the front.The impact you will have:
- Help a major customer realize the full potential of Databricks
through technical excellence, partnership, and a relentless focus
on outcomes
- Unblock technical challenges, accelerate migration efforts, and
drive meaningful outcomes from day one
- Collaborate closely with Databricks product and engineering
teams to share customer feedback and help shape future platform
capabilities
- Codify best practices and contribute to internal knowledge
bases that scale the impact of the Specialist Solutions Architect
teamWhat we look for:
- 7+ years of hands-on data engineering experience with deep
expertise in Apache Spark and distributed data processing
- Experience working across cloud platforms (preferably Azure),
understanding the nuances of modern storage formats like Delta and
Iceberg, and building scalable pipelines using orchestration tools
like Airflow
- Experienced in tuning Spark jobs for performance and cost,
addressing complex issues such as data skew, shuffle
inefficiencies, and memory leaks
- Strong ownership of problems from end-to-end-diving deep,
learning quickly, and doing whatever it takes to deliver
results
- Ability to clearly and empathetically communicate complex
technical concepts, adapting effortlessly to both technical and
non-technical audiences
- Someone who thrives in collaborative, customer-facing
environments and knows how to turn strategic goals into scalable,
working systemsPay Range TransparencyDatabricks is committed to
fair and equitable compensation practices. The pay range(s) for
this role is listed below and represents base salary range for
non-commissionable roles or on-target earnings for commissionable
roles. Actual compensation packages are based on several factors
that are unique to each candidate, including but not limited to
job-related skills, depth of experience, relevant certifications
and training, and specific work location. Based on the factors
above, Databricks utilizes the full width of the range. The total
compensation package for this position may also include eligibility
for annual performance bonus, equity, and the benefits listed
above. For more information regarding which range your location is
in visit our page here.Zone 1 Pay Range$196,200 - $300,800 USDAbout
DatabricksDatabricks is the data and AI company. More than 10,000
organizations worldwide-including Comcast, Cond-- Nast, Grammarly,
and over 50% of the Fortune 500-rely on the Databricks Data
Intelligence Platform to unify and democratize data, analytics, and
AI. Databricks is headquartered in San Francisco, with offices
around the globe, and was founded by the original creators of
Lakehouse, Apache Spark, Delta Lake, and MLflow. To learn more,
follow Databricks on Twitter, LinkedIn, and Facebook.BenefitsAt
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, please visit
https://www.mybenefitsnow.com/databricks.Our Commitment to
Diversity and InclusionAt 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.ComplianceIf 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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Keywords: Databricks Inc., Newark , Sr. Specialist Solutions Architect - Data Engineering & Spark, Engineering , San Francisco, California
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