Posted May 6, 2026
As a Senior Data Architect/Senior Information Architect at Bank of America, you will play a crucial role in the Data Management Technology EISA team. Your responsibilities will include providing data solutions and designs for BAML Authorized Data Sources and Key Regulatory projects. This involves establishing end-to-end data integration, metadata processes, data gaps analysis, data quality assurance, and lineage processes. Key Responsibilities:
Provide Data Solution Architecture, Information Architecture, and high-level design within the data space, focusing on solution designs, data models, data quality, data governance, metadata & lineage, data integrations, and provisioning. - Enable and deliver the Authorized Data Source platform using ETL tools like Informatica and BIG Data technologies such as Hadoop, Sqoop, Hive, PIG, and Spark & Scala. - Play a key role in BAML metadata strategy alignment with Enterprise data management practice vision and goals of Enterprise Data Management (EDM) and Global Record Management (GRM). - Obtain agreements with Project Stakeholders and conduct Proof of Concepts (POCs) as required. Qualifications Required:
13+ years of experience in information technology with a minimum of 8 years in data warehousing/analytics discipline. - At least 5 years of experience in the financial services sector. - Previous experience in a Data Solution Architect/Information Architect role. - Successfully implemented at least 2 end-to-end large projects in the past in the Data Warehousing/Business Intelligence space in a delivery and Solution Architect/Information Architect capacity. - Strong expertise in data integration and the implementation of complex data projects. - Proficiency in Conceptual Modeling, Logical Modeling, and Physical Modeling. - Exposure to markets, global banking, consumer, retail, small business, and wealth banking application domains. - Experience in Enterprise Data management practices like metadata management, Data Quality, Lineage, and Business Glossary. - Hands-on experience in architecting Database and NoSQL Database solutions. - Proficiency with Java, Advanced Java, Python, Hadoop, Sqoop, Hive, Spark & Scala, Gen AI Technologies. - Experience in data modeling across all scenarios - normalized, dimensional, NoSQL, and streaming data. - Exposure to Machine Learning, Data Mining, Statistical, and Quantitative Analysis. Please note that the work hours for this role are scheduled for the IST Day Shift from 11:30 AM to 8:30 PM. As a Senior Data Architect/Senior Information Architect at Bank of America, you will play a crucial role in the Data Management Technology EISA team. Your responsibilities will include providing data solutions and designs for BAML Authorized Data Sources and Key Regulatory projects. This involves establishing end-to-end data integration, metadata processes, data gaps analysis, data quality assurance, and lineage processes. Key Responsibilities:
Provide Data Solution Architecture, Information Architecture, and high-level design within the data space, focusing on solution designs, data models, data quality, data governance, metadata & lineage, data integrations, and provisioning. - Enable and deliver the Authorized Data Source platform using ETL tools like Informatica and BIG Data technologies such as Hadoop, Sqoop, Hive, PIG, and Spark & Scala. - Play a key role in BAML metadata strategy alignment with Enterprise data management practice vision and goals of Enterprise Data Management (EDM) and Global Record Management (GRM). - Obtain agreements with Project Stakeholders and conduct Proof of Concepts (POCs) as required. Qualifications Required:
13+ years of experience in information technology with a minimum of 8 years in data warehousing/analytics discipline. - At least 5 years of experience in the financial services sector. - Previous experience in a Data Solution Architect/Information Architect role. - Successfully implemented at least 2 end-to-end large projects in the past in the Data Warehousing/Business Intelligence space in a delivery and Solution Architect/Information Architect capacity. - Strong expertise in data integration and the implementation of complex data projects. - Proficiency in Conceptual Modeling, Logical Modeling, and Physical Modeling. - Exposure to markets, global banking, consumer, retail, small business, and wealth banking application domains. - Experience in Enterprise Data management practices like metadata management, Data Quality, Lineage, and Business Glossary. - Hands-on experience in architecting Database and NoSQL Database solutions. - Proficiency with Java, Advanced Java, Python, Hadoop, Sqoop, Hive, Spark & Scala, Gen AI Technologies. - Experience in data modeling across all scenarios - normalized, dimensional, NoSQL, and streaming data. - Exposure to Machine Learning, Data Mining, Statistical, and Quantitative Analysis. Please note that the work hours for this role are scheduled for the IST Day Shif
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