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Guidehouse

Advises agencies and runs regulated operations

Managing Consultant – Databricks Data Engineering Lead

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree from an accredited university is required.
  • A minimum of six years of experience is required.
  • Experience in data engineering, ETL/ELT, cloud data platforms, software development, or analytics engineering is required.
  • Hands-on experience designing and developing production Databricks solutions using Apache Spark, PySpark, Python, SQL, Delta Lake, notebooks, workflows, and jobs is required.
  • Experience building scalable batch data pipelines and reusable ingestion, transformation, and orchestration frameworks is required.
  • Experience with enterprise data migration, source-to-target mapping, data conversion, reconciliation, validation, and defect remediation is required.
  • Experience implementing data-quality controls, metadata capture, lineage, logging, monitoring, and technical auditability is required.
  • Experience with Git-based development, automated testing, CI/CD, release management, and production stabilization is required.
  • Experience leading data engineers and delivering complex data solutions in a client-facing environment is required.
  • The ability to obtain and maintain a Federal Public Trust is required.

Responsibilities

  • Lead Databricks data engineering and DataOps delivery across ingestion, transformation, orchestration, migration, integration, serving, and consumption patterns.
  • Translate architecture, data models, mappings, data contracts, and migration requirements into scalable technical designs and delivery plans.
  • Design and develop reusable pipelines, migration utilities, transformation frameworks, data-quality controls, reconciliation routines, and governed data products.
  • Establish standards for coding, testing, CI/CD, deployment, observability, logging, error handling, performance, security, and operational support.
  • Lead engineering reviews and troubleshoot Databricks job failures, pipeline bottlenecks, data-quality issues, and performance problems.
  • Support batch and, where applicable, streaming data-processing patterns using Databricks, Apache Spark, and Delta Lake.
  • Coordinate technical delivery with data architects, source-system teams, integration engineers, security specialists, governance leads, testing teams, and business stakeholders.
  • Lead technical estimates, capacity planning, backlog refinement, sprint execution, release readiness, and stabilization activities.
  • Mentor data engineers and ensure reusable code, design patterns, runbooks, and lessons learned are adopted across later modernization waves.
  • Communicate technical decisions, risks, dependencies, and delivery impacts to client and program leadership.

Desired Qualifications

  • Databricks Certified Data Engineer Professional certification or a comparable Databricks certification.
  • Experience with Unity Catalog, Delta Live Tables, Databricks Workflows, Auto Loader, or related platform capabilities.
  • Experience with cloud storage, identity and access management, secrets management, networking, and platform security.
  • Experience with Azure DevOps, GitHub Actions, Jenkins, Terraform, or other infrastructure-as-code and deployment tools.
  • Experience developing APIs, data services, integration patterns, or event-driven pipelines.
  • Experience modernizing HR, ERP, workforce, financial, or other sensitive enterprise data.
  • Experience supporting federal agencies, regulated organizations, or public-sector modernization programs.
  • Experience with Agile Scrum or Kanban delivery.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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