Specialist Solutions Architect (Pre sales, Data Engineering, DS/ML)

As a Specialist Solutions Architect (SSA), 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 will support the Solution Architects, that requires 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 a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty – whether that be performance tuning, machine learning, industry expertise, or more.

The impact you will have:

  • Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
  • Architect production level workloads, including end-to-end pipeline load performance testing and optimization
  • Become a technical expert in an area such as data management, cloud platforms, data science, machine learning, or architecture
  • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
  • Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
  • Contribute to the Databricks Community

What we look for:

  • 5+ years experience in a customer-facing technical role with expertise in at least one of the following: Data Engineering, data science and machine learning, data warehouse and BI, cloud infrastructure and Security
  • Maintain and extend production data systems using DevOps principles to evolve with complex needs.
  • Production programming experience in Python, R, Scala, Java or SQL
  • Deep Specialty Expertise in at least one of the following areas:
  • Experience scaling big data workloads that are performant and cost-effective.
  • Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. E.g. Jenkins
  • Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
  • Experience implementing industry specific data analytics use cases.
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.

Benefits

  • Private medical insurance
  • Accident coverage
  • Employee's Provident Fund
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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