Job expired!
This role can be remote.
As a Specialist Solutions Architect (SSA) - Data Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As an expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs.
The impact you will have:
- Provide technical leadership to guide strategic customers to successful implementations on big data projects.
- Architect production level data pipelines.
- Become a technical expert in areas such as data lake technology, big data streaming, or big data ingestion and workflows.
- Assist Solution Architects with more advanced aspects of the technical sale.
- Provide tutorials and training to improve community adoption.
- Contribute to the Databricks Community.
What we look for:
- 5+ years experience in a technical role with expertise in software engineering/data engineering or data applications engineering.
- Extensive experience building big data pipelines.
- Experience maintaining and extending production data systems.
- Expertise in areas such as scaling big data workloads, development tools for CI/CD, designing data solutions on cloud infrastructure, or implementing industry-specific data analytics use cases.
- Programming experience in SQL and Python, Scala, or Java.
- 2 years professional experience with Big Data technologies.
- 2 years customer-facing experience in a pre-sales or post-sales role.
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- Ability to travel up to 30% when needed.
Benefits:
- Medical, Dental, and Vision
- 401(k) Plan
- FSA, HSA and Commuter Benefit Plans
- Equity Awards
- Flexible Time Off
- Paid Parental Leave
- Family Planning
- Fitness Reimbursement
- Annual Career Development Fund
- Home Office/Work Headphones Reimbursement
- Employee Assistance Program (EAP)
- Business Travel Accident Insurance
- Mental Wellness Resources
Pay Range Transparency:
Databricks is committed to fair and equitable compensation practices. The pay range for this role is $139,700 - $247,300 USD. Actual compensation packages are based on several factors unique to each candidate.
About Databricks:
Databricks is the data and AI company. More than 9,000 organizations worldwide rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco and was founded by the original creators of Apache Spark™, Delta Lake and MLflow.
Our Commitment to Diversity and Inclusion:
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices are inclusive and meet equal employment opportunity standards. All candidates are considered regardless of 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 legally protected characteristics.
Compliance:
All position-related tasks must comply with export-controlled technology or source code regulations.
