Corporate Vice President - Data Architect
$147,500-$211,000
ApplyCorporate Vice President - Data Architect
Posted 17 days ago
SENIORITY
Manager
SALARY
$147,500-$211,000
About the role
- Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses
- Design operational and analytical data models
- Develop data management frameworks and standards to ensure data integrity, quality, and security.
- Works closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions.
- Create and maintain inventory and designs of current state data capabilities
- Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs.
- Demonstrated experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes.
- Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications.
- Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective
- Enforce data governance policies and procedures as part of the data model
- Stay up to date with the latest industry trends and technologies in data management.
- Identify opportunities for improvement and innovation within the existing data infrastructure.
- Ensure data solutions comply with relevant data privacy and security regulations.
- Implement data security measures to protect sensitive information.
- 8+ years of hands-on experience as a Data Architect for large-scale enterprise solutions, with a strong focus on agile practices.
- Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
- Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.
- Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms.
- Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake
- Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.
- Extensive hands-on experience in creating STMsProficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.
- Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques.
- Expertise in overall solution architecture for data platforms built on the cloud.
- Strong experience in data integration, data processing, data streaming, and message queuing techniques
- Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence.
- Experience with Continuous Integration and Continuous Deployment (CI/CD) processes.
- Detail-oriented with strong analytical, problem-solving, and organizational skills. Excellent communication skills, capable of effectively conveying complex concepts both technical and business teams.
- Solid understanding of the insurance, wealth management or financial services industry
- Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable.
- Knowledge of machine learning pipelines and frameworks is a plus.
- Experience supporting AI solutions with data product strategy and enabling solutions.
- Bachelor's degree in computer science or an Engineering discipline
- Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus
- Certification in delivery methodologies such as Scaled Agile a plus.
- Pay Transparency
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