You will architect and drive technical solutions for complex data challenges.
Responsibilities
Provide thought leadership to teams and customers to improve practices and strengthen organizational culture.
Unify agency and enterprise data capabilities to break down silos, standardizing and migrating structured and unstructured data to a unified data plane.
Architect, design, and implement scalable, secure data solutions using Databricks, Elastic, AWS, and ServiceNow integrations.
Align agency data equities across multiple programs to maximize integration throughout the agency.
Design data pipelines and data flows with a strong hands-on engineering focus.
Required Skills
Minimum 5-7+ years of hands-on experience architecting, designing, and engineering with Databricks, Elastic, and AWS in a government setting.
Demonstrated hands-on experience with AWS Cloud Native data and ETL capabilities (S3, Redshift, Glue).
Relevant Databricks experience related to well-architected Lakehouse, Medallion Architecture, and Data & AI Governance.
Knowledge of streaming data technologies such as Kafka, Kinesis, Firehose, or Apache Spark Structured Streaming.
Prior consulting or customer-facing experience in data architecture or modernization initiatives.
Experience in Agile environments and managing cross-functional technical delivery.
Ability to successfully maintain a DHS Entry on Duty (EOD)/DHS Suitability.