Databricks is hiring a

Solutions Consultant

Paris, France

At Databricks you will work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us daily with interesting new big data and AI use cases. As a Solutions Consultant at Databricks, you will report directly to the UKI Director for Architecture, Consulting and Enablement. You will shape the future big data and the machine learning landscape for leading Fortune 500 organisations.

You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, for example implementing pipelines from data engineering through model building and deployment. A successful Solutions Consultant is curious and excels in collaboration. As part of joining Databricks, you will have a direct channel to the developers of Apache Spark™, Delta Lake, and MLflow, and the opportunity to attend top big data conferences.

The impact you will have:

  • Guide strategic customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
  • Use your expertise in data engineering best practices to guide customers to do the same, through building proofs of concept and prototypes and even pair-programming with customer teams
  • Implement migration of workloads from 3rd party databases and data platforms to Apache Spark™
  • Promote Apache Spark™ and Databricks, Delta Lake and MLflow across the developer community through meetups and conferences
  • Coordinate with Account Executives, Customer Success Engineers and Solution Architects for expanding the use of Databricks platform within strategic enterprise customers weekly
  • Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
  • Assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
  • Knowledge transfer, enablement and mentoring of other team members, customers and partners

What we look for:

  • Deep hands-on expertise in Apache Spark™ (Scala or Python)
  • Experience with other Big Data technologies (Hadoop ecosystem, Kafka, NoSQL databases)
  • Familiarity with a full range of data engineering approaches, covering theoretical best practices and the technical applications of these methods
  • Experience building and deploying a range of data engineering pipelines into production, including using automation best practices for CI/CD
  • Experience with cloud providers such as AWS, Azure or GCP
  • Travel will be 70-80% regionally

Benefits

  • Complementary health insurance
  • Complementary life and disability coverage
  • Complementary pension
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel accident insurance

About Databricks

Want to help speed the development of medical breakthroughs? Make the next mode of transportation a reality? Or discover ways to reverse climate change? We're on a mission to help data teams solve the world's toughest problems. The opportunity is huge and Databricks has emerged as a leader. Thousands of enterprises — including Comcast, Virgin Hyperloop and H&M — already rely on us to power their businesses and we're just getting started. Now it's your turn - join us to grow your career and make an impact with some of the brightest minds in the industry.

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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