CURRENT OPENINGS

We welcome Corp-to-Corp and W2 Candidates

NO DIRECT CALLS OR EMAILS WILL BE RETURNED.

We are seeking a Senior Data Modeler for our client.  This role will architect and operationalize scalable, governed data structures that transform raw, disparate data into trusted, analytics-ready assets. This position demands mastery of data modeling principles, normalization, and SQL-based transformations within modern cloud ecosystems (e.g., Snowflake).  This senior-leveled individual will set modeling standards, influence cross-functional teams, and ensure data integrity, consistency, and performance across the enterprise.

Responsibilities:

• Design and maintain conceptual, logical, and physical data models that enable high-performance analytics and transactional workloads.
• Normalize and optimize complex, raw, and semi-structured data into relational structures aligned with business and analytical requirements.
• Own metadata and lineage: document entity relationships, definitions, and transformation logic to ensure transparency and reusability.
• Partner strategically with data engineers, analysts, and business stakeholders to translate requirements into scalable models and influence upstream design decisions.
• Serve as SME for data modeling best practices; evangelize standards and mentor peers to elevate modeling maturity across teams.
• Implement models in Snowflake and other cloud platforms, ensuring compliance with performance, security, and governance frameworks.
• Champion automation: leverage dbt, Python, or orchestration tools to streamline model deployment and enforce version control.
• Conduct proactive data profiling and quality checks to validate accuracy and integrity before production rollout.
• Lead POCs for modern modeling approaches—including semantic layers, ML-ready schemas, and hybrid architectures—and institutionalize successful patterns.
• Continuously refine modeling standards, naming conventions, and governance policies to support evolving business needs.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• More than 5 years’ experience in data modeling or database design with proven ability to normalize complex datasets into optimized relational models.
• Advanced SQL skills and strong understanding of ETL/ELT processes.
• Hands-on experience with modern cloud data platforms (Snowflake preferred).
• Ability to travel to Baltimore, MD, as needed.
• Collaborate closely with technical and business leaders to understand data requirements and deliver impactful solutions.
• Design data quality, data lineage, and data governance practices across the organization.
• Advocate for advanced data engineering tools, platforms, and technologies.
• Ability to transfer knowledge and experience to junior staff.

• Familiarity with data governance and cataloging tools (e.g., Collibra, Alation).
• Experience with dbt or scripting (Python) for automated transformations and CI/CD workflows.
• Strong communication skills to translate technical concepts into business language and influence stakeholders.

We look forward to receiving your resume in PDF format.