Data Architect

Pankalytics; Rockville, Northern (MD, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Pankalytics in Rockville, MD is seeking a Senior Data Architect to define and govern the enterprise data strategy, ensuring scalable data models and governance across cloud and hybrid environments.

You will design conceptual, logical, and physical models, establish metadata and quality standards, and partner with engineering to align schemas with high-throughput services, driving data excellence for business outcomes.

Qualifications

• 8+ years designing enterprise data architectures.
• Expertise in relational, NoSQL, and graph databases.
• Mastery of data modeling methodologies (Kimball/Vault).
• Strong background in cloud data warehousing (Snowflake, BigQuery, or Redshift).

Responsibilities

• Define the overarching enterprise data strategy, governance frameworks, and data models to transform raw data assets into actionable business capabilities.
• Design conceptual, logical, and physical data models for complex cloud and hybrid environments.
• Establish enterprise-wide data governance, metadata management, and data quality standards.
• Guide migration strategies from legacy databases to modern cloud-native data platforms.
• Partner with engineering leadership to align database schemas with high-throughput service requirements.

Skills

Enterprise data architecture

Relational databases

NoSQL databases

Graph databases

Data modeling

Cloud data warehousing

Tools

Snowflake

BigQuery

Redshift

Job description

Role Overview:

Define the overarching enterprise data strategy, governance frameworks, and data models to transform raw data assets into actionable business capabilities.

Key Responsibilities:

• Design conceptual, logical, and physical data models for complex cloud and hybrid environments.
• Establish enterprise-wide data governance, metadata management, and data quality standards.
• Guide migration strategies from legacy databases to modern cloud-native data platforms.
• Partner with engineering leadership to align database schemas with high-throughput service requirements.

Qualifications:

8+ years designing enterprise data architectures; expertise in relational, NoSQL, and graph databases; mastery of data modeling methodologies (Kimball/Vault); strong background in cloud data warehousing (Snowflake, BigQuery, or Redshift).