Senior Data Architect

Service Center

ESSENTIAL DUTIES:

• Design and implement scalable, secure, and efficient data architectures leveraging cloud technologies (Azure, GCP, Snowflake).
• Develop and maintain enterprise-wide data strategies, including metadata management, operational data stores, and ETL/ELT frameworks.
• Evaluate and optimize existing data architectures for performance, scalability, and alignment with business objectives.
• Establish standards and best practices for data modeling, integration, and data management across the organization.
• Lead the design and development of cloud-native data platforms and distributed systems.
• Collaborate with business analysts, data stewards, and engineering teams to translate business requirements into logical and physical data models.
• Drive data governance initiatives including data cataloging, metadata management, data lineage, and stewardship.
• Create and maintain an enterprise data asset catalog and enforce consistent data definitions across business units.
• Define data storage, consumption, and integration patterns to support modern analytics and AI/ML use cases.
• Partner with enterprise architects to ensure alignment with the overall architecture roadmap.
• Provide guidance and support to database administrators, data engineers, and development teams in data platform design and management.
• Advocate for data quality, accessibility, and discoverability through proper documentation and tooling.

EDUCATION, EXPERIENCE, AND OTHER REQUIREMENTS:

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field; equivalent combination of education and experience will be considered.
• 7+ years of experience in data architecture experience, including large-scale enterprise environments.
• Proven expertise in designing and implementing modern data architectures (cloud, distributed systems, data lakes, and warehouses).
• Deep knowledge of data modeling techniques (relational, dimensional, NoSQL, graph), normalization principles, and best practices.
• Strong background in data governance, metadata management, and master data management (MDM).
• Hands-on experience with cloud platforms, especially Azure, Google Cloud Platform (GCP), and Snowflake.
• Proficient in SQL and Python for data processing and transformation.
• Familiarity with modern BI/reporting tools such as Power BI, Looker, or Tableau.
• Knowledge of database administration and performance tuning (SQL Server).
• Experience with enterprise data warehouse (EDW) solutions and building end-to-end data pipelines.
• Strong analytical and problem-solving skills with excellent communication and collaboration abilities.
• Experience with machine learning or graph analytics is a plus.

CERTIFICATIONS, LICENSURES, AND LANGUAGE SKILLS:

• Certification in data management (e.g., Certified Data Management Professional) is highly desirable.
• Certifications in cloud platform technologies such as AWS Certified Solutions Architect or Google Professional Data Engineer are beneficial.

PHYSICAL REQUIREMENTS:

This role primarily operates in a corporate office environment, necessitating the ability to sit and work at a computer for extended periods. Physical demands are generally minimal but may include occasional lifting of equipment or materials related to data centers.

WORK ENVIRONMENT:

The Senior Data Architect position is based in a fast-paced, dynamic corporate office setting that demands the ability to quickly adapt to changing priorities and manage multiple ongoing projects. The role involves significant collaboration with IT teams, project teams, and external vendors. There may be opportunities for remote work, depending on the specific project needs and overarching company policies.