Senior Data Analytics Architect

US132 Guidehouse Digital, LLC; San Antonio (TX); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Life and Disability Insurance

Tuition Reimbursement

Employee Referral Program

Flexible Spending Accounts

Transit and Parking Benefits

Job summary

Guidehouse is seeking a data engineer to design, develop, and optimize enterprise data lakes, data warehouses, and dimensional models in a dynamic team. You will build secure, scalable data ingestion pipelines and support ETL/ELT processes to enable analytics and reporting.

Candidates must obtain and maintain a Federal or DHS Public Trust, with a Bachelor's degree in a related field and 3+ years of experience in designing and optimizing data platforms.

Qualifications

• Bachelor's degree in a related field is required.
• 3+ years designing and optimizing enterprise data platforms.
• Experience building data ingestion pipelines and analytics solutions.

Responsibilities

• Design, develop, and optimize data lakes, warehouses, and dimensional models.
• Build secure, scalable ingestion pipelines for analytics and reporting.
• Develop and support ETL/ELT processes with modern tools.
• Partner with stakeholders to deliver data solutions and enable data-driven decisions.
• Create and support reports, dashboards, and semantic data layers.

Skills

Data engineering

ETL/ELT

Data modeling

Cloud data platforms

CI/CD

DevSecOps

Education

Bachelor's degree in Computer Science / IS / Data Analytics / Engineering

Tools

SEMOSS

Job description

Guidehouse is seeking a data engineer to design, develop, and optimize enterprise data lakes, data warehouses, and dimensional models in a dynamic team. You will build secure, scalable data ingestion pipelines and support ETL/ELT processes to enable analytics and reporting.

Candidates must obtain and maintain a Federal or DHS Public Trust, with a Bachelor's degree in a related field and 3+ years of experience in designing and optimizing data platforms.