Job Description:
The Enterprise Risk & Finance Technology (ERFT) Architecture team consists of Business, Information, Technical and Infrastructure Architects who work with Global Risk Management and The CFO Group to understand their business strategy and translate this into a target state Technology Architecture for our Risk & Finance Technology teams.
We are looking for a talented and highly motivated Big Data Solution Architect with extensive experience in the banking industry to help build and modernize Data Pipelines for Regulatory Reporting Application in Risk & Finance Technology.
Role Overview
The Big Data Solution Architect position will partner with Global Finance Regulatory Reporting SMEs to build efficient Data solutions.
Responsibilities include, but are not limited to the following:

• Analyze end-to-end business processes to understand how they drive our current state technology platforms, interviewing SMEs in business and technology roles to understand opportunities and pain points.
• Develop close working relationships with our business partners to identify strategic opportunities and work with our technology teams to create a horizontal technology strategy for the department.
• Define a target state architecture and High-level design and build Proof of Concepts for Regulatory Reporting Application in ERFT Technology and be responsible for creating well-structured documentation.
• Help to define and operate a new Architecture & Strategy governance process for Risk & Finance Technology and work closely with multiple initiative programs to ensure alignment with our target state architecture.
• An Individual Contributor role, works with Business SME's, Feature Leads and Developers

Required Skills:

• At least 10 years of overall experience in Designing and Developing Data Engineering solutions
• 5+ years overall experience in Architecting and Designing large-scale data pipelines and data-centric applications using Big Data tooling like Hadoop, Spark, PySpark, Hive, Python, Oozie, flume, etc.
• Experience with logical data modelling and analysis of large data sets for large scale, multi-system and platform information strategies and execution
• Create and manage reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions
• Experience working with log aggregation tools like Splunk
• Extensive & specific business knowledge of the banking industry (Regulatory Reporting, Capital Markets, Risk & Compliance preferred)
• Knowledge of Agile SDLC methodologies, DevOps, micro-services, API design, Containers and Tech Infrastructure
• Excellent written and verbal communication skills and networking skills

Desired Skills:

• Hands-on knowledge of software development - comfortable working with Technology SMEs and reading/analyzing code to better understand a business process
• Experience with traditional ETL tools like Informatica, Alteryx, etc.
• Experience and/or exposure to Databases (such as Oracle, MS SQL Server, Teradata), Informatica, Apache Airflow and other data modeling, integration, and management tools.

Enterprise Risk & Finance Technology (ERFT) at Bank of America

• Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
• Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
• Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
• Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
• Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
• Believes in responsible growth and is dedicated to supporting our communities by connecting them to lending, investing and giving them what they need to remain vibrant and vital.

Shift:
1st shift (United States of America)
Hours Per Week:
40