Job Description:

Who We Look For:

Bank of America’s associates are innovators and problem-solvers. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Global Financial Crimes/Equity Aggregation/Compliance Portal (GFC/EA/CP) technology team within Risk and Finance Technology delivers solutions for the enhanced monitoring of suspicious activity across Anti Money Laundering (AML) and Economic Sanctions. The primary mission of the group is to design and implement a strategic AML monitoring and detection solutions to support AML and Fraud Investigations and regulatory reporting processes.

The Architect will be part of the GFC organization and play a vital role in establishing data tooling strategy and standardized data accessibility architecture across data domains supported by Enterprise Risk and Control functions organization. The Data Architect will be responsible for: 

• Performing current state data architecture and tooling assessment across all data domains supported by control functions. Cross-domain reviews to identify synergies and opportunities to eliminate redundancy and duplication of data.
• Establish capabilities framework for various data tools (metadata/lineage, data sourcing, data provisioning, data accessibility, data archival, data security, data quality etc.) and performing comparative analysis to recommend tools and establish standardized architecture and tooling strategy.
• Developing high-level Data master plan and a roadmap to advance data architecture and tooling strategy.
• Establishing data architecture & tooling best practices and participating in project architecture / design reviews to ensure consistency and standardization.
• Establishing KPIs for the data architecture team and providing transparency through KPI measurement / reporting.
• Evaluation of leading edge data tools and integration into control functions architecture & tooling strategy & roadmap.
• Ensuring application data architecture & tooling adherence with overall strategy via deep domain and technology expertise and ongoing interaction with architecture, development, business solutions and change management partners.

Required Skills:

• 8 years of experience as a data architect in a complex data environment
• Strong domain knowledge of the data domains supported by control functions (Finance, Regulatory Reporting, Compliance, Operational Risk, HR, Legal, Marketing, Audit etc.) and experience in financial services industry
• Experience with architecture and design of large-scale shared data solutions with multiple stakeholders
• Hands-on design and implementation experience with one/more of the following data tools:
• Data Platforms – Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, etc
• Data Transformation – Informatica, SSIS, Alteryx, Trifacta etc
• BI – Tableau, MicroStrategy, • metadata/lineage tools, Distributed Caching tools
• Strong knowledge of database modeling principles, techniques and enterprise data management best practices.
• Familiar with Data Governance process (Identifying critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreement, Service Level Agreement, Data Management Standards)
• Participates in design, development review and implementation of architectural deliverables, to include components of the assessment and optimization of system design and review of user requirements
• Experience in performance tuning of a multi-terabyte data warehouse production environment
• Experience with Data Quality measurement/Scorecards, Control, & Remediation along with Data reconciliation technics
• Able to independently architect solutions, lead code reviews and ensure quality throughout the life of each project
• Experience working as part of an Agile team and using Agile SDLC tools (Jira, etc.)
• Demonstrate strong leadership, communication, analytical and organizational skills and Strong presentation Skills. Ability to effectively manage day-to-day interactions and relationships with a diverse group of stakeholders

Desired Skills:

• Experience with next generation tools and technologies is a plus (AI/ML, RPA etc.)
• A bachelor’s and/or master’s degree in computer science or related field 

Shift:

Hours Per Week: