About the role

Senior Data Architect optimizing value of data architecture and supporting data platform transformation at Element Fleet Management. Leading data lifecycle activities and collaborating with business partners for effective data governance.

Responsibilities

Perform Data Architecture support for projects and enhancements, including crafting and executing data management, architecture, integration, and governance strategies.
Provide technical leadership for architecture, design, documentation, and maintenance of databases and related systems, including creating database storage structures, resolving database issues, and maintaining system security.
Support development and implementation of business applications that optimize statistical efficiency and data quality.
Identify, analyze, and interpret trends or patterns in complex data sets.
Monitor daily operations of data loads, identify data discrepancies and data quality issues, and ensure data consistency and integrity.
Participate in project and enhancement estimation exercises and project team meetings, providing input, task status, risk identification, mitigation strategies, and issue management.
Collaborate with business partners to transform business requirements into environment-specific ETL, reporting, and data validation designs, and prioritize business and information needs.
Design relational databases and physical data models to support enterprise applications, data acquisition, and security requirements.
Review database changes to ensure no performance or functionality impacts and ensure production stability.

Bachelor’s degree in data architecture, information management or similar field.
At least five years of DBA/data development and data architecture experience (combined).
Proficient with PostgreSQL, Talend ETL, and Snowflake.
Strong ETL development knowledge including SSIS, ADF (Azure Data Factory), Boomi or equivalent, and data warehouse architecture techniques.
Proficient in the use of data modeling tools and producing and maintaining logical and physical designs.
Demonstrated ability to optimize, load, and process large datasets from different data sources and formats while ensuring data quality and accuracy.

Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)