Databricks Solutions Architect

ECS Federal, LLC.
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 210K

Job location

Remote

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data Architecture
Information Engineering
ETL
Python
Systems Integration
Spark
Data Lake
Databricks

Job description

ECS is seeking a Databricks Solutions Architect to support the design, implementation, and long-term operation of Databricks within a complex Government enterprise environment. This role will work closely with various stakeholders during initial implementation and will transition into owning architectural decisions, best practices, and platform evolution as Databricks is rolled out within the environment.  The ideal candidate will bring strong Databricks and AWS experience, familiarity with architecting solutions for scale and governance, and is comfortable integrating Databricks with other data platforms.  Key responsibilities include:

  • Lead the architecture, implementation, and long-term operation of Databricks on AWS in an enterprise environment

  • Provide unification for organization and enterprise data capabilities to break down organizational data and operational silos, including mechanisms to standardize and migrate existing data to a unified data plane/warehouse 

  • Support the integration of Databricks with existing analytics platforms and metadata solutions

  • Serve as a technical advisor to stakeholders and help upskill internal teams through guidance/documentation

  • Assist and develop customer use case applications of Databricks

Salary Range: $150,000 - $210,000

Requirements

Do you have experience in Technical solutions implementation?, * Must be a US Citizen

  • Ability to successfully maintain a DHS Entry on Duty (EOD)/Public Trust

  • Minimum 7 years of hands-on experience architecting, designing, data engineering with Databricks and AWS in a government setting.

  • Strong understanding and experience in areas such as Apache Spark, Lakebase, Lakehouse architectures, Delta Lake, Delta Sharing, Medallion Architecture, Data & AI Governance, and use case acceleration.

  • Demonstrated hands-on experience with AWS Cloud Native data and ETL capabilities (S3, Lambdas, Glue, etc.)

  • Demonstrated experience leveraging data to provide search, enrichment, correlation, AI/ML Model Training, in alignment with government mission and business use cases

  • Experience integrating Databricks with other analytics platforms.

  • Prior consulting or customer-facing experience in data architecture or modernization initiatives.

  • Strong Python skills.

  • Experience in Agile environments and managing cross-functional technical delivery.

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