Sr. Specialist Solutions Architect - Data Engineering & Spark

FEQ326R272

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™; otherwise, they will not be considered.

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 team

****What 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 systems

Pay Range Transparency

Databricks 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 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé 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.

**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, please visit https://www.mybenefitsnow.com/databricks. 

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.