Senior Databricks Architect – Remote (DC Metro)

Anakim Consulting

New Carrollton (MD)

Remote

USD 125,000 - 135,000

Full time

14 days+

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Job summary

Anakim Consulting seeks a Senior Databricks Developer to design, build, and optimize enterprise-grade data solutions in cloud environments. You will mentor a collaborative engineering team, shape technical strategy, and deliver resilient Databricks-based pipelines for a remote DC Metro client delivery model.

The role requires 10+ years in software/data engineering, strong leadership, and experience with Databricks on AWS.

Qualifications

  • Bachelor's degree required in a relevant field.
  • 10+ years of progressive software/data engineering experience.
  • Experience leading data engineering teams and projects.
  • Excellent written and verbal communication across stakeholders.
  • Agile/Scrum delivery experience.
  • Proficiency with MS Word, PowerPoint, Excel, SharePoint.

Responsibilities

  • Design, develop, and deploy scalable data pipelines, analytics workloads, and software on Databricks on AWS.
  • Lead and mentor engineering team members through design, implementation, and delivery.
  • Conduct peer code reviews, enforce engineering standards, and ensure robust tests.
  • Investigate and resolve production defects and data anomalies to maintain stability.
  • Evaluate architecture gaps and propose modern data patterns and frameworks.

Skills

Technical leadership
Mentorship
Stakeholder collaboration
Strong communication
Agile/Scrum experience
Solution architecture

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Tools

Databricks
AWS
Palantir

Job description

Anakim Consulting seeks a Senior Databricks Developer to design, build, and optimize enterprise-grade data solutions in cloud environments. You will mentor a collaborative engineering team, shape technical strategy, and deliver resilient Databricks-based pipelines for a remote DC Metro client delivery model.

The role requires 10+ years in software/data engineering, strong leadership, and experience with Databricks on AWS.

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