Managing Consultant, Databricks Data Engineering Lead

Posted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
130K-216K Annually
Senior level
Consulting
The Role
Leads Databricks data engineering and DataOps delivery, including pipeline development, migrations, transformations, orchestration, data quality, governance, monitoring, and performance optimization. Designs scalable frameworks and production data solutions using Spark, PySpark, Python, SQL, and Delta Lake. Coordinates cross-functional technical delivery, manages estimates and releases, troubleshoots issues, communicates risks, and mentors data engineers in a client-facing consulting environment.
Summary Generated by Built In

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do

  • 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.

What You Will Need

  • Bachelor’s degree from an accredited universtiy.
  • Minimum SIX (6)+ years of experience.
  • Experience in data engineering, ETL/ELT, cloud data platforms, software development, or analytics engineering.
  • Hands-on experience designing and developing production Databricks solutions using Apache Spark, PySpark, Python, SQL, Delta Lake, notebooks, workflows, and jobs.
  • Experience building scalable batch data pipelines and reusable ingestion, transformation, and orchestration frameworks.
  • Experience with enterprise data migration, source-to-target mapping, data conversion, reconciliation, validation, and defect remediation.
  • Experience implementing data-quality controls, metadata capture, lineage, logging, monitoring, and technical auditability.
  • Experience with Git-based development, automated testing, CI/CD, release management, and production stabilization.
  • Experience leading data engineers and delivering complex data solutions in a client-facing environment.
  • Ability to obtain and maintain a Federal Public Trust.

What Would Be Nice to Have

  • Databricks Certified Data Engineer Professional or 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.

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Skills Required

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

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

Guidehouse Insights

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The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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