Job Family:Data Engineering & Architecture Consulting
Travel Required:Up to 10%
Clearance Required:Active Secret
What You Will DoAs a Manager in Guidehouse's AI & Data practice, you will serve as a hands-on technical leader and delivery manager designing and implementing modern cloud-native data platforms for federal clients, with a primary emphasis on AWS and Databricks. You will lead architecture decisions, mentor engineers, and ensure high-quality, secure, and scalable delivery aligned to mission outcomes.
Key responsibilities include:
- Architect and lead delivery of AWS-based lakehouse solutions using Databricks, including integration with AWS-native services such as S3, Glue, Lambda, IAM, and Redshift where appropriate.
- Design, build, and optimize ETL/ELT pipelines leveraging Databricks, Apache Spark, Delta Lake, Python, and SQL, supporting batch and streaming use cases.
- Define and enforce data architecture standards including ingestion patterns, layered/medallion designs, schema evolution, performance tuning, and cost optimization.
- Implement production-grade engineering practices, including data quality validation, reconciliation, logging, monitoring, and operational alerting.
- Apply data security and governance controls appropriate for federal and defense environments, including role-based access, controlled data handling, and auditability.
- Partner with client stakeholders and product owners to translate mission and business requirements into technical designs, delivery roadmaps, and implementation plans.
- Lead and mentor data engineers through code reviews, architecture reviews, and delivery execution; contribute to reusable accelerators and reference architectures.
- Establish and mature CI/CD pipelines for Databricks workloads and supporting infrastructure, improving reliability, repeatability, and compliance of releases.
What You Will Need- US Citizenship required.
- An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
- Bachelor's degree obtained or equivalent experience.
- Seven (7+) years of progressive experience in data engineering, data platform delivery, or data architecture roles, including leading technical teams or workstreams.
- Strong hands-on experience with AWS data platforms, including designing and operating production systems leveraging Databricks on AWS.
- Deep expertise with Apache Spark, Databricks, Delta Lake, Python, and SQL, including performance tuning of distributed workloads.
- Experience designing scalable, secure data architectures that support analytics, reporting, and advanced use cases (e.g., AI/ML enablement).
- Familiarity with Agile delivery methods and proven ability to collaborate effectively with cross-functional and client teams.
- Strong written and verbal communication skills, including the ability to explain complex technical topics to non-technical stakeholders.
What Would Be Nice To Have- Experience delivering Azure-based data platforms, including Azure Databricks, ADLS Gen2, Azure Data Factory, or Synapse Analytics.
- Bachelor's degree obtained. Computer Science, Engineering, Information Systems, or a related technical field.
- Experience with Databricks Unity Catalog, including permissions management and governance enablement.
- Infrastructure-as-Code experience (e.g., Terraform) and advanced CI/CD automation for data platforms.
- Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis).
- Cloud or platform certifications (AWS, Databricks, or Azure).
- Prior experience supporting DoD or Defense & Security federal clients.
The annual salary range for this position is $106,000.00-$176,000.00. 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
