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- Architect/Build Large scale modern data/digital platforms using real time apps
- Integrating highly scalable ML/AI models into mission critical apps
- Experience working in Cloud-based environments as Snowflake, Databricks, or Teredata using Azure or AWS
- Expert skills in SQL
- Architecture concepts like data warehouse, data lakes, data fabric/mesh and data lake house
- Financial services industry
- Provide architectural direction and oversight on existing DW/BI projects and Strategic Analytics data product initiatives that are spawned from our long-term D&A strategy
- Provide robust oversight and direction to refactor IM&A DW architecture to line with architectural best practices
- Oversee data product solution architecture by defining the framework and data flows.
- Define and publish the data architecture framework, standards, best practices, principles, patterns, protocols and standards
- Produce conceptual, logical & physical architectures to meet strategic business, financial, data security, privacy and technology objectives through documentation of systems, data flows, and value-chains
- Develop architectural blueprints and strategies for the current state, transition, and future state with the pragmatic approach that aligns with the enterprise data and analytics strategy
- Demonstrate the ability to work with IT enterprise architects and establish the relationship to build a robust architecture framework that includes data architectural best practices
- Collaborate and coordinate with enterprise architecture teams and solution architects within the organization to co-design the global fabric for a connected data & analytics/digital platform arch roadmap & capability
- Coordinate with InfoSec and other risk management functions (e.g., Privacy and Regulatory Compliance) to minimize duplication of effort and maximize execution
- Stay up to date on new methodologies, frameworks and paradigms, tools & techniques in the data and analytics space and recommend modern technology stacks and enable adoption to meet business objectives
- Act as the technical product owner and partner with our business product owners within IM&A to define the technical strategy and solutions for our data and analytics products
- Conduct proof of concept activities with key IM&A team members and business users in support of advanced use cases.
- Perform and participate in tech POC’s, vendor evaluation & software acquisition lifecycle as necessary
- Lead the charge of periodic enterprise data architecture related capability assessments and provide reports and recommendations to leadership to continuously advance our data architecture
- This description reflects management’s assignment of essential functions, it does not prescribe
- This job description is subject to change at any time.
- Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Engineering, Statistics, Mathematics or related field
- 10+ years’ experience in production relational database environments of any type
- 5+ years’ experience architecting & building large scale modern data/digital platforms, data pipelines, CDC, data streaming, and using real time applications
- 5+ years’ experience writing high performing SQL, building distributed high-performance systems, working knowledge of Cloud DWs, MPP, RDBMS, NoSQL, Data Integration Frameworks
- 5+ years’ experience integrating highly scalable ML/AI models into mission critical applications
- 5+ years’ progressive experience in data & analytics solution design and deployment, data product life cycle management
- 2+ years’ hands-on experience working in cloud-based data environments such as Snowflake, Databricks, or Teradata using Azure or AWS
- Expert-level experience with SQL
- Solid understanding of architecture concepts like data warehouse, data lakes, data fabric/mesh and data lake house
- Experience implementing MDM Capabilities
- Experience with API, microservice, and integration concepts and technologies, such as REST, SOAP, JSON, XML, message queues, and integration patterns/frameworks
- Working knowledge of Machine Learning, AI and complex data analysis and providing application and best practice recommendations on Predictive Analytics
- Familiarity with current trends on technologies and solutions related to cloud data security and privacy
- Master’s Degree in Computer Science, Information Technology, Information Systems, Engineering, Statistics, Mathematics or related field
- 10+ years’ experience architecting & building large scale modern data/digital Platforms, data pipelines, data streaming, and using real time applications
- 10+ years’ experience writing high performing SQL, building distributed high-performance systems, working knowledge of MPP, RDBMS, NoSQL, Data Integration Frameworks
- 8+ years of experience in the credit union or financial services industry
- 5+ years’ hands-on experience working in Cloud based data environments such as Snowflake, Databricks, or Teradata using Azure or AWS
- Cloud Engineering certification(s)
- Strong knowledge and hands on experience in deploying and supporting RPA tools