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Data Solutions Architect

2 months ago

Frisco, Texas, United States comerica Full time
Job Description

Comerica is seeking a highly skilled Data Solutions Architect to join our team. As a key member of our data solutions team, you will be responsible for designing and implementing data value delivery solutions of varying degrees of complexity.

Key Responsibilities
  • Data Design
    • Design and oversee the implementation of data value delivery solutions of varying degrees of complexity.
    • Collaborate with Data Product Management, Data Governance and Strategy, and IT to ensure ad hoc and point solutions adhere to technical and data architectural standards.
    • Ensure solution designs adhere to data governance policies, standards, and guidelines.
    • Provide recommendations and data design oversight of proposed solutions requiring integration of two or more domains of data.
  • Solution Delivery and Quality
    • Direct technical activities of product/scrum team resources (FTE and contractor) to ensure data solution quality on basic to complex solutions.
    • Deliver data pipeline, reporting and dashboard solutions of the highest complexity requiring the incorporation of insights and analysis to support fact-based decision making.
    • Coordinate enterprise and information architect solution reviews to ensure adherence to architectural and data governance standards.
    • Collaborate with the broader Enterprise Data & Analytics organizations Decision to deploy visualization of models and statistical analysis to support business decision makers.
  • Solution Scalability
    • Collaborate with IT, Data Product Owners, Data Strategy, and other stakeholders to scale supported data solutions and products for reuse opportunities.
    • Recommend solution reuse to support rapid business decision support.
    • Extend existing solution functionality as needed to expand reuse opportunities.
    • Provide requirements to Data Strategy and project teams to support the expansion of key data assets for broad enterprise use.
Requirements
  • Bachelor's Degree from an accredited university in Computer Science, Engineering, Math, or other relevant technology degrees or High School diploma or GED and 10 years of progressively responsible experience
  • 5 years of experience in technology and proficiency
  • 4 years of experience leading large, complex/critical technology projects
  • 4 years of experience influencing strategy for large organizations
  • 2 years of experience in Data Modeling and Architecture
  • Preferred Qualifications:
    • 4 years of experience in data visualization techniques (Power BI, Tableau)
    • 4 years of experience with Microsoft Office and expanded product lines (Visio, MS Project, SharePoint)
    • 3 years of experience documenting and assisting product owners with creating data and business requirements
    • 3 years of experience in banking or related financial industries
    • Proficiency in data profiling, statistical analysis, data analysis, and data standardization / cleansing techniques
    • Strong SQL skills with the ability to write sophisticated queriers across large, complex data sets
    • Experience using statistical techniques to discover the root cause of data quality issues and recommend remediation options
    • Ability to analyze data trends, identify patterns and proactively address potential data quality issues
    • Experience with Collibra, Informatica, and Snowflake (Python, R is a plus)