Technical Architect - Databricks

As a Solutions Architect in our Professional Services team, you will work with 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-tos 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.

What we look for:

• 6+ years experience with Big Data Technologies such as Spark, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in either Python, Scala or Java.
• Experience working across Cloud Platforms (GCP / AWS / Azure)
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.

Must-have skills

• Databricks, Spark, Ingestion Framework, Unity Catalog, DLT, Delta Tables, Notebooks | ETL Approaches, Cloud - Azure / AWS / GCP, Programming - Java / Scala /Python, DevOps - CI/CD

Good-to-have skills

• Data Warehousing, Data Modelling, Data Governance [If team member is working on UC then Data Governance knowledge is must have], Terraform / DevOps Tools, MLflow

As a Solutions Architect in our Professional Services team, you will work with 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-tos 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.

What we look for:

• 6+ years experience with Big Data Technologies such as Spark, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in either Python, Scala or Java.
• Experience working across Cloud Platforms (GCP / AWS / Azure)
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.

Must-have skills

• Databricks, Spark, Ingestion Framework, Unity Catalog, DLT, Delta Tables, Notebooks | ETL Approaches, Cloud - Azure / AWS / GCP, Programming - Java / Scala /Python, DevOps - CI/CD

Good-to-have skills

• Data Warehousing, Data Modelling, Data Governance [If team member is working on UC then Data Governance knowledge is must have], Terraform / DevOps Tools, MLflow