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Arbi Arredobagno

The perfect design for every bathroom

Lead Technical Consultant – Databricks

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 51-200Since 1987H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

$103.0K - $150K / year

Seniority

Senior

Job Description

Lead Technical Consultant – Databricks

Arbi Arredobagno

• Lead the technical delivery of Databricks workstreams across requirements, design, development, testing, deployment, and transition to support. • Gather and analyze business and technical requirements and translate them into practical solution designs, implementation plans, and technical specifications. • Design and build scalable data pipelines and lakehouse solutions using Databricks, Apache Spark/PySpark, Python, SQL, and Delta Lake. • Lead the deployment and integration of Databricks with cloud data platforms, source systems, data warehouses, analytics tools, and downstream applications. • Configure and optimize Databricks jobs, workflows, clusters, notebooks, compute resources, and data pipelines for performance, reliability, scalability, and cost efficiency. • Implement data governance, security, access controls, lineage, and compliance practices using Unity Catalog and related cloud services. • Establish development standards and lead design reviews, code reviews, unit testing, documentation, version control, CI/CD, and troubleshooting within the assigned workstream. • Lead estimation activities, identify technical dependencies and risks, and help define realistic development timelines and delivery goals. • Guide and mentor consultants and engineers, delegate technical tasks, and ensure the team delivers consistent, high-quality work. • Collaborate with client and cross-functional stakeholders, produce technical documentation, and facilitate solution walkthroughs, issue resolution, knowledge transfer, and enablement. • Evaluate relevant Databricks capabilities and emerging technologies and recommend practical improvements that strengthen solution quality and delivery.

Job Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field; equivalent relevant experience may be considered.
  • 5-10 years of experience in technical consulting, data engineering, analytics engineering, software development, or related technology roles.
  • At least 3 years of hands-on experience designing, developing, and delivering solutions on the Databricks platform.
  • Demonstrated experience leading a technical workstream or small delivery team on mid- to large-scale client implementations.
  • Strong hands-on experience with Python, SQL, Apache Spark/PySpark, ETL/ELT frameworks, and data pipeline development.
  • Experience with key Databricks capabilities such as Delta Lake, Unity Catalog, Workflows/Jobs, notebooks, compute or cluster management, and platform administration concepts.
  • Experience integrating Databricks with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Strong understanding of lakehouse, data lake, data warehouse, batch and streaming processing, data modeling, and modern analytics concepts.
  • Experience with Git-based development, DevOps, automated testing, CI/CD, Agile delivery, and managing multiple priorities or workstreams.
  • Client-facing consulting experience, including requirements discussions, technical workshops, solution presentations, estimation, and delivery communication.
  • Preferred Certifications and Experience: Databricks Data Engineer Associate, Databricks Data Engineer Professional, or another relevant Databricks certification.
  • Experience with MLflow, machine learning workflows, real-time or streaming solutions, or Databricks SQL.
  • Experience supporting technical discovery, solution estimates, proposals, or statements of work in partnership with architects and sales teams.

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