Managing Consultant, Databricks Data Engineering Lead

Guidehouse; McLean (VA); On-site; USD 130,000 - 216,000; Full time

Job summary

Guidehouse seeks a senior Databricks Data Engineer to lead data engineering and DataOps delivery across ingestion, transformation, orchestration, migration and consumption patterns for client engagements.

You will design scalable pipelines, establish standards for CI/CD, testing, observability and data quality, and mentor engineers while coordinating with data architects, security, governance and stakeholders. Travel up to 25% and ability to obtain Public Trust required.

Qualifications

• Bachelor's degree from an accredited university.
• 6+ years of experience in data engineering or analytics.
• Hands-on experience designing and building production Databricks solutions using Apache Spark, PySpark, Python, SQL, Delta Lake, notebooks, workflows, and jobs.

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 designs and delivery plans.
• Design and develop reusable pipelines, migration utilities, transformation frameworks, data-quality controls, 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.
• Coordinate technical delivery with data architects, source-system teams, security, governance, testing, and business stakeholders.
• Lead technical estimates, capacity planning, backlog refinement, sprint execution, release readiness, and stabilization activities.
• Mentor data engineers and promote reusable code and runbooks across modernization waves.
• Communicate technical decisions, risks, dependencies, and delivery impacts to client and program leadership.

Skills

Databricks

DataOps

ETL/ELT

Cloud data

Spark

Python

SQL

Delta Lake

Git

CI/CD

Production stabilization

Education

Bachelor’s degree

Tools

Databricks

Azure DevOps

GitHub Actions

Jenkins

Terraform

Job description

Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will DoLead 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 NeedBachelor’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 HaveDatabricks 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 InsurancePersonal and Family Sick Time & Company Paid HolidaysPosition may be eligible for a discretionary variable incentive bonusParental Leave and Adoption Assistance401(k) Retirement PlanBasic Life & Supplemental LifeHealth Savings Account, Dental/Vision & Dependent Care Flexible Spending AccountsShort-Term & Long-Term DisabilityStudent Loan PayDownTuition Reimbursement, Personal Development & Learning OpportunitiesSkills Development & CertificationsEmployee Referral ProgramCorporate Sponsored Events & Community OutreachEmergency Back-Up Childcare ProgramMobility StipendAbout GuidehouseGuidehouse 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 [e-mail]. 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 [e-mail]. 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 [e-mail]. 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.