Databricks Data Analyst – AI/BI & FinOps

Role overview

Accountabilities

• Evaluate business needs to determine data and infrastructure requirements.
• Design and maintain scalable, high-performance data pipelines and architectures.
• Ingest and process raw data from batch and streaming sources.
• Assemble complex datasets for BI, analytics, and machine learning use cases.
• Collaborate with cross-functional teams to understand data needs and deliver data solutions.
• Improve internal processes through automation, optimized data delivery, and infrastructure redesign.
• Conduct data profiling and performance analysis; publish statistics, metadata, and summaries.
• Build tools and systems supporting data transformation, data quality, and governance.
• Monitor, report, and optimize cloud costs and performance.
• Support analytics and data science teams with tooling and data accessibility.

Education and experience

• At least 3 years of experience as a Data Engineer or Data Analyst.
• Bachelor’s degree in computer science or a related field.
• Strong communication and stakeholder management skills.
• Strong proficiency in Python for data engineering tasks.
• Advanced SQL skills and experience with relational databases, such as PostgreSQL.
• Experience building and maintaining ETL/ELT pipelines.
• Strong experience in Databricks AI/BI and experience with an Azure cloud data platform.
• Experience with data warehouse design, data modeling, and partitioning strategies.
• Comfort working with structured and unstructured data.
• Knowledge of governance practices, including cataloging, lineage, and compliance.
• Familiarity with version control such as Git; exposure to CI/CD for data workflows.

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