Sr Data Engineer (Machine Learning)

Sr Data Engineer (Machine Learning)


As a Sr Solutions Consultant (Machine Learning) in our Professional Services team you will work with clients on short to medium term customer engagements on their Big Data & Machine Learning challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. You will report to the Manager, Professional Services.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 6+ years experience with Big Data Technologies such as Spark, Kafka in a customer-facing post-sales, technical architecture or consulting role
  • Experience in Machine Learning engineering and ML Ops
  • 4+ years of experience working on Big Data Architectures independently
  • Comfortable writing code in either Python or Scala.
  • Experience working across any Cloud Platforms (GCP / AWS / Azure)
  • Experience working in the Databricks ecosystem is a plus
  • Experience working with clients / stakeholders and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.


  • 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
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