Senior Data Engineer designing and building data warehouse solutions with Snowflake for a fintech company. Collaborating with cross - functional teams to facilitate data insights and analytics.
About the role
- Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Responsibilities
- Define, design, develop, implement, and maintain the data assets and infrastructure used across the enterprise.
- Lead the progress of data standards, integration and quality initiatives, storage, integration, and performance of data stores both for application and analytics purposes.
- Direct research and development in support of business cases, proposed projects, and system requirements over the course of the software development lifecycle.
- Apply proven analytical and problem-solving skills to help CLA take advantage of its data assessment to maximize CLA’s analysis and insight capabilities.
- Collaborate with business teams to create roadmaps of strategic initiatives and data related requirements.
- Lead the development, establishment, and enforcement of data quality and security standards across the firm.
- Drive implementation and support of Master Data Management solution.
- Direct the analysis of documentation and technical specifications for any new application under deployment or consideration to determine its intended functionality and impact on existing data structures.
- Visionary identifying and promoting opportunities across the enterprise for enhanced data usage.
- Assist with process capture and model using flowcharting tools.
- Create data models and database designs working with the application development teams.
- Ensure that ETL and dashboard software development, software release and quality measures comply with regulatory standards, industry standards, and accepted best practices.
- Create methodologies and processes for the collection and analysis of data for ensuring software, systems, and product quality.
- Determine the selection and appropriate usage of data aggregation, transformation and analysis tools.
- Oversee both dashboard and integration performance and data quality.
- Work closely with Risk and Information Governance team understanding how teams are accessing and utilizing data to provide insights to their internal and external audience.
- Manage all members of the Data Engineering team and ensure that aggressive deadlines are met.
Requirements
- 7 years of relevant experience required.
- Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
- Extensive experience with both logical and physical database design utilizing technologies such as MS SQL, Postgres.
- Big Data technologies: Azure Datalake, Data Bricks and Data Factories.
- Well versed in API, Integration and ETL processes.
- Fluent in SQL and SSIS.
- Familiar with other tech programming language such as Java, Python or MS.Net.
Benefits
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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