Full-Time Senior Data Architect

About the Role: 

As a Senior Data Architect, you will design and implement enterprise-wide data strategies that align with business goals. You’ll manage the agile development and automated deployment of data engineering assets and ensure the smooth operation of our data environment. As part of the product team, you'll collaborate with engineers, QA, DevOps, and support to meet business objectives.

This role is critical to shaping our data landscape and driving innovation. You’ll have the opportunity to work on complex projects, contribute to our data strategy, and make a significant impact on our business.

 In this role, you'll have responsibility for:

Strategic Leadership:

• Develop data architecture strategies aligned with business objectives.
• Partner with C-level executives and stakeholders to translate high-level data needs.
• Evaluate and recommend data technologies, including SQL/NoSQL databases and ETL/ELT tools.
• Lead metadata management and enforce data governance policies.
• Implement best practices for data storage, access, and lifecycle management.

Technical Leadership:

• Analyze business needs, profile data, and develop models to drive decision-making.
• Design scalable, reliable data pipelines using tools like Matillion.
• Ensure data integrity, security, and scalability with complex data models.
• Oversee database administration and SQL development.
• Collaborate with cross-functional teams on large-scale data integration projects.
• Mentor and support junior engineers.

Data Governance and Monitoring:

• Develop and extend data engineering frameworks, standards, and reusable components.
• Build systems for tracking data lineage, managing versions, and controlling access.
• Monitor data systems using statistical and heuristic indicators.

Analytical and Reporting Support:

• Work with the analytics team to develop and maintain dashboards, reports, and data visualizations.
• Lead discussions to clarify data and reporting requirements with both technical and non-technical teams.

Operational Support:

• Optimize SQL and ETL performance.
• Conduct ad hoc analysis as needed.

Requirements

Basic Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field (Master's preferred); equivalent experience also considered.
• Demonstrated experience in data architecture, with previous experience in a senior/lead role.
• Expertise in data modeling (conceptual, logical, and physical).
• Strong skills in database administration, advanced SQL, metadata management, and data governance.
• Experience with SQL/NoSQL databases, data warehousing, and ETL/ELT tools.
• Knowledge of data science concepts and cloud-based data solutions (e.g., AWS, GCP).
• Excellent communication skills for both technical and non-technical audiences.
• Strong problem-solving and analytical skills.

Preferred Qualifications:

• Proficiency in Python or another programming language.
• Certifications (e.g., CDMP, AWS Certified Data Analytics).
• Familiarity with data privacy regulations and compliance.