As a Resident Solutions Architect (Big Data) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data 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. 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:

• 9+ years experience with Big Data Technologies such as Spark, Kafka, Cloud Native and Data Lakes in a customer-facing, technical architecture or consulting role
• 5+ years of experience working on Data Pipelining using Spark
• Experience working on Databricks ecosystem
• Comfortable writing code in either Python, Pyspark, Scala.
• 5+ years of experience working across Cloud Platforms (GCP / AWS / Azure)
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.

Benefits

• Benefits allowance
• Employee's Provident Fund
• Equity awards
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance
• Paid Parental Leave