Data Architect: ETL, Data Warehouse & Analytics

M-Square Systems Inc.; Reston (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

M-Square Systems Inc. in Reston, VA is seeking a Data Architect with 5 years of experience to design large-scale data platforms and ensure data quality for enterprise initiatives.

You will shape data strategies and governance to support analytics and operations. You will lead ETL design, data modeling, data warehouse solutions, and metadata management; collaborate with analytics teams, data science, and business stakeholders to deliver scalable, compliant data ecosystems.

Qualifications

• 5+ years of experience in a Data Architect role.
• 5+ years of ETL experience.
• 5+ years documenting data topology and data dictionaries.
• Metadata management and data integrity skills essential.
• Experience developing strategies for data acquisitions, archive recovery, and implementation.
• Experience with data integration from disparate data sources.
• Data warehouse experience.
• Knowledge of data mining and segmentation techniques.

Skills

Data Architecture

ETL

Data Modeling

Metadata Management

Data Governance

Data Warehousing

Data Analysis / Visualization

Education

Bachelor's degree in Science, Technology, Mathematics, or a technical field

Tools

Tableau

Power BI

Data integration tools

Job description

• Candidate with five (5) years of experience in a Data Architect role
• Five (5)+ years of experience with performing ETL (Extraction, transformation, loading)
• Five (5) years of experience documenting processes, procedures, and database structures (e.g., data topology, data dictionary).
• Metadata management and data integrity skills essential
• Experience developing strategies for data acquisitions, archive recovery, and implementation
• Data integration tools knowledge used to integrate data from different unrelated Data Sources
• Data warehouse experience
• Experience using data analysis/visualization tools for project analysis such as Tableau, Power BI, etc.
• Knowledge of data mining and segmentation techniques
• Bachelor’s degree in Science, Technology, Mathematics, or a technical field.

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