Azure Databricks Lakehouse Engineer

Booz Allen Hamilton; Atlanta (GA); Hybrid; USD 87,000 - 198,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Financial benefits

Retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton is seeking a Databricks engineer to design, build, and operate Databricks Lakehouse solutions within the Azure ecosystem. You will develop and support Azure Data Factory pipelines to move datasets into the Databricks architecture and deliver analytics-ready datasets.

You will collaborate with architects, analysts, and engineering teams to meet requirements and implement robust data models, ETL/ELT processes, and client-facing analytics tools while following best practices and

Qualifications

• 5+ years building and operating production data platforms on Databricks.
• Experience designing Lakehouse architectures with Delta Lake and Spark.
• Experience developing and supporting Azure Data Factory pipelines.
• Knowledge of Unity Catalog, data governance, and access control.

Responsibilities

• Design, build, and operate Databricks Lakehouse solutions in Azure.
• Develop and support Azure Data Factory pipelines for data ingestion.
• Create reliable ETL/ELT pipelines across bronze, silver, and gold layers.
• Deliver analytics-ready datasets and dashboards for clients.

Skills

5+ years of experience building and 운영

Databricks expertise

Lakehouse architectures

Azure Data Factory

Azure Data ecosystem

PySpark / Spark SQL

Delta Lake / Unity Catalog

SQL & dashboards

Collaboration with architects

Education

Bachelor’s degree in Computer Science, Information Systems, or Engineering

Tools

Databricks

Azure Data Factory

Azure storage

Unity Catalog

Apache Spark

PySpark

SQL

Delta Lake

Job description

Booz Allen Hamilton is seeking a Databricks engineer to design, build, and operate Databricks Lakehouse solutions within the Azure ecosystem. You will develop and support Azure Data Factory pipelines to move datasets into the Databricks architecture and deliver analytics-ready datasets.

You will collaborate with architects, analysts, and engineering teams to meet requirements and implement robust data models, ETL/ELT processes, and client-facing analytics tools while following best practices and