Full-Time Solutions Architect

As a Solutions Architect at DI, you'll work on impactful customer projects in Capital Markets, designing and building reference architectures, and deploying customer use cases.

1. Define end-to-end data architectures, focusing on data governance, access control, and cost optimization using Unity Catalog and Delta Lake.
2. Provide guidance on Databricks best practices for query performance tuning, storage optimization, and efficient compute resource allocation.
3. Guide strategic customers in adopting Databricks Lakehouse as a unified data platform for structured and unstructured market data.
4. Enhance and expand your knowledge through our learning and development ecosystem.

Key Skills:

• Data Engineering, Data Platforms, and Analytics experience.
• Proficient in Python, SQL, and/or Scala.
• Knowledge of two or more cloud ecosystems (Azure, AWS, GCP) with expertise in one.
• Deep experience with distributed computing using Apache Spark.
• Working knowledge of CI/CD for production deployments and MLOps.
• Experience in designing and deploying performant end-to-end data architectures.
• Technical project delivery experience, managing scope and timelines.
• Ability to communicate complex technical concepts to business stakeholders.
• Adaptability to evolving technologies and projects.

Qualifications:

• At least one Databricks Certification (Data or ML Engineering).

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