Databricks

Senior Specialist Solutions Architect - Data Engineering/DWH

Remote London, UK
Spark Machine Learning Hadoop Scala Java API SQL AWS GCP Python R Azure
Description

FEQ126R237

As a Senior Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the 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 Data Intelligence Platform. As a deep go-to-expert reporting to the Senior 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 speciality - 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 of big data projects, ranging from architectural design to data engineering to tuning and optimisation.
  • Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation
  • Provide technical expertise in an area such as data management, cloud platforms, data warehousing, and analytics architecture
  • Partner with Solution Architects on the most complex aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
  • Improve community adoption (through tutorials, training, hackathons, conference presentations)
  • Contribute to the Databricks Community

What we look for:

  • You will have experience in a pre-sales customer-facing technical role, expertise as an enterprise architect, and deep technical knowledge of spark-based analytics solutions.
  • Experience with the design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
  • Maintain and extend production data systems to evolve with complex needs.
  • Production programming experience in Python, R, Scala or Java
  • 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.
  • Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
  • Excellent written and verbal communication skills, with proven experience communicating technical concepts to customers at C-level.
  • 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.

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 TwitterLinkedIn 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.

 Databricks
Databricks
Analytics Artificial Intelligence Information Technology Machine Learning Software

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