Data Platform Analyst: Cloud & Governance

UNAVAILABLE; McLean (VA); On-site; USD 70,000 - 110,000; Full time

Job summary

We are seeking a seasoned Data Analyst to architect and develop data models, warehouses, lakes, and data governance pipelines for our team and clients. The role emphasizes technical prowess, strong communication, and customer service with a passion for data-driven problem solving.

Responsibilities include migrating data environments with reliability, documenting sources, and supporting data artifacts while working in cloud environments (AWS/Azure/GCP).

Qualifications

• Public trust eligibility with US government; DOD Tier 3 preferred.
• 0-2 years of experience with data model and data warehouse design, incl. schema/ER diagrams.
• 0-2 years collaborating with management, personas, and engineers to support data quality.
• Experience with large-scale data migration.
• Experience designing storage/retrieval for structured and unstructured data for data science pipelines.
• Experience designing data platforms for user consumption.
• Experience with relational SQL and NoSQL databases.

Responsibilities

• Work on migration of data environments with performance and reliability.
• Assess, understand, and document data sources.
• Address technical inquiries concerning customization, integration, enterprise architecture and data products.
• Experience with cloud data warehouse solutions in AWS, Azure or GCP.
• Design storage and retrieval solutions for data science pipelines.
• Contribute to data artifacts: Data Dictionary, ER Diagrams, Data Flow Diagram, Data Quality Plan, Data Asset Catalog.
• Collaborate with software and data science teams to operationalize information.

Skills

Data modeling

Data understanding

SQL

NoSQL

Cloud experience

Data governance

Data warehousing

Education

Bachelor's degree in Computer Science/Information Systems/Engineering/Business/technical discipline

Tools

AWS

Azure

GCP

Job description

We are seeking a seasoned Data Analyst to architect and develop data models, warehouses, lakes, and data governance pipelines for our team and clients. The role emphasizes technical prowess, strong communication, and customer service with a passion for data-driven problem solving.

Responsibilities include migrating data environments with reliability, documenting sources, and supporting data artifacts while working in cloud environments (AWS/Azure/GCP).