BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD
Enterprise Data Architect
BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD, Alexandria, Virginia, us, 22350
Overview
Key Role Design enterprise architecture (EA) to enable strategic or tactical transformations through informed decision-making at any level of an enterprise to support governance, future growth, adaptability, optimization, innovation, and modernization initiatives such as cloud and digital solutions. Define and champion the enterprise data architecture vision, strategy, and roadmap, aligning with long-term business goals and evaluating emerging technologies. Lead a database management and enterprise architecture team in alignment with the long-term vision and strategy. Maintain accountability for establishing the data architecture vision and championing efforts to reach that vision. Serve as the in-house database expert and authority by defining, implementing, and enforcing all data integration standards and documentation. Review and suggest improvements to data architecture processes, policies, and vision. Explore new and emerging technologies, leading the investigation and adaptation of beneficial data architecture technologies and tools. Lead strategy, development, and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores. Contribute to developing transparent and well-understood enterprise data governance processes, rules, and technologies to support them. Establish and enforce comprehensive data governance processes, modeling standards, and cleansing procedures to ensure data quality, consistency, and security. Develop guidelines and best practices to ensure data standardization and consistency, lead the design of exception handling, data cleansing or standardization procedures, and business transformation rules and logic, and lead the development of processes to avoid redundancy in data elements, where applicable. Conduct a continuous audit of the data management system performance, refining whenever required, keep data easily accessible and accurate, and review, refine, and implement data standards. Lead the full lifecycle of data architecture projects, from platform selection and technical design through implementation, testing, and performance auditing. Define and manage the flow of data and dissemination of information within the organization, and integrate technical functionality, ensuring data accessibility, accuracy, and security. Spearhead a complex, phased migration from a legacy Sybase system to a modern AWS microservices architecture such as Postgres Aurora, DMS, and Lambda, engineering innovative solutions to maintain data synchronization during the transition. Guide and perform the migration from a system using Sybase and stored procedures to a modern microservices architecture based on AWS technologies such as Postgres Aurora, DMS, and Lambda. Plan and execute phased migrations via data domains, ensuring old and new databases are kept in sync using innovative approaches. Act as the primary liaison between business units, product managers, and engineering teams to translate requirements into scalable solutions and build consensus on architectural designs. Collaborate with business units, data owners, and DBA teams to successfully implement database solutions to address business requirements. Identify and promote best practices for data modeling within information areas, providing oversight for all activities related to data cleansing, data quality, and data consolidation using industry-standard data modeling methods and processes. Apply leading-edge principles, theories, and concepts, and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, and mentor or supervise employees in both company and technical competencies. Remote Work
Hybrid Job Identifier
R0225331 Location
Alexandria, VA, US Responsibilities
Lead the design and implementation of enterprise data architecture and EA governance. Define, implement, and enforce data integration standards and documentation. Oversee data modeling, data cleansing, data quality, and data consolidation efforts. Manage full lifecycle of data architecture projects from design to deployment and performance auditing. Guide migrations from legacy systems to modern AWS-based microservices architectures, maintaining data synchronization across environments. Collaborate with business units, product managers, and engineering teams to translate requirements into scalable solutions. Establish data governance processes, modeling standards, and cleansing procedures. Aid in defining enterprise data vision and roadmap aligned with business goals. Qualifications
8+ years of experience in data architecture, data modeling, database design, and administration 5+ years in Agile or DevOps environments using Jira or Confluence Experience with data modeling tools (ERStudio, ERWIN, PowerDesigner) and AWS technologies (Aurora, RDS, DMS, Lambda) Experience with cloud services, database administration, governance, security, and strategic planning Experience with data synchronization during phased migrations Knowledge of Sybase or PostgreSQL, SQL, and microservices architecture Strong communication skills across technical and business stakeholders Ability to obtain/maintain Public Trust or Suitability/Fitness as required Bachelors degree in Computer Science or related field; Database and Project Management Certifications Additional Qualifications
Excellent verbal and written communication skills Detail-oriented with strong documentation skills Masters degree in CS or related field Vetting
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation
Salary range and benefits information are provided. The projection range for this position is $112,800.00 to $257,000.00 (annualized USD). The posting will close within 90 days from the Posting Date. Identity and Work Model
Identity Statement:
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model:
Our people-first culture prioritizes flexibility and collaboration, whether in person or remote. Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by law. Company Details
Commitment to Non-Discrimination Referrals increase your chances of interviewing at Booz Allen Hamilton International (U.K.) Ltd. #J-18808-Ljbffr
Key Role Design enterprise architecture (EA) to enable strategic or tactical transformations through informed decision-making at any level of an enterprise to support governance, future growth, adaptability, optimization, innovation, and modernization initiatives such as cloud and digital solutions. Define and champion the enterprise data architecture vision, strategy, and roadmap, aligning with long-term business goals and evaluating emerging technologies. Lead a database management and enterprise architecture team in alignment with the long-term vision and strategy. Maintain accountability for establishing the data architecture vision and championing efforts to reach that vision. Serve as the in-house database expert and authority by defining, implementing, and enforcing all data integration standards and documentation. Review and suggest improvements to data architecture processes, policies, and vision. Explore new and emerging technologies, leading the investigation and adaptation of beneficial data architecture technologies and tools. Lead strategy, development, and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores. Contribute to developing transparent and well-understood enterprise data governance processes, rules, and technologies to support them. Establish and enforce comprehensive data governance processes, modeling standards, and cleansing procedures to ensure data quality, consistency, and security. Develop guidelines and best practices to ensure data standardization and consistency, lead the design of exception handling, data cleansing or standardization procedures, and business transformation rules and logic, and lead the development of processes to avoid redundancy in data elements, where applicable. Conduct a continuous audit of the data management system performance, refining whenever required, keep data easily accessible and accurate, and review, refine, and implement data standards. Lead the full lifecycle of data architecture projects, from platform selection and technical design through implementation, testing, and performance auditing. Define and manage the flow of data and dissemination of information within the organization, and integrate technical functionality, ensuring data accessibility, accuracy, and security. Spearhead a complex, phased migration from a legacy Sybase system to a modern AWS microservices architecture such as Postgres Aurora, DMS, and Lambda, engineering innovative solutions to maintain data synchronization during the transition. Guide and perform the migration from a system using Sybase and stored procedures to a modern microservices architecture based on AWS technologies such as Postgres Aurora, DMS, and Lambda. Plan and execute phased migrations via data domains, ensuring old and new databases are kept in sync using innovative approaches. Act as the primary liaison between business units, product managers, and engineering teams to translate requirements into scalable solutions and build consensus on architectural designs. Collaborate with business units, data owners, and DBA teams to successfully implement database solutions to address business requirements. Identify and promote best practices for data modeling within information areas, providing oversight for all activities related to data cleansing, data quality, and data consolidation using industry-standard data modeling methods and processes. Apply leading-edge principles, theories, and concepts, and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, and mentor or supervise employees in both company and technical competencies. Remote Work
Hybrid Job Identifier
R0225331 Location
Alexandria, VA, US Responsibilities
Lead the design and implementation of enterprise data architecture and EA governance. Define, implement, and enforce data integration standards and documentation. Oversee data modeling, data cleansing, data quality, and data consolidation efforts. Manage full lifecycle of data architecture projects from design to deployment and performance auditing. Guide migrations from legacy systems to modern AWS-based microservices architectures, maintaining data synchronization across environments. Collaborate with business units, product managers, and engineering teams to translate requirements into scalable solutions. Establish data governance processes, modeling standards, and cleansing procedures. Aid in defining enterprise data vision and roadmap aligned with business goals. Qualifications
8+ years of experience in data architecture, data modeling, database design, and administration 5+ years in Agile or DevOps environments using Jira or Confluence Experience with data modeling tools (ERStudio, ERWIN, PowerDesigner) and AWS technologies (Aurora, RDS, DMS, Lambda) Experience with cloud services, database administration, governance, security, and strategic planning Experience with data synchronization during phased migrations Knowledge of Sybase or PostgreSQL, SQL, and microservices architecture Strong communication skills across technical and business stakeholders Ability to obtain/maintain Public Trust or Suitability/Fitness as required Bachelors degree in Computer Science or related field; Database and Project Management Certifications Additional Qualifications
Excellent verbal and written communication skills Detail-oriented with strong documentation skills Masters degree in CS or related field Vetting
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation
Salary range and benefits information are provided. The projection range for this position is $112,800.00 to $257,000.00 (annualized USD). The posting will close within 90 days from the Posting Date. Identity and Work Model
Identity Statement:
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model:
Our people-first culture prioritizes flexibility and collaboration, whether in person or remote. Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by law. Company Details
Commitment to Non-Discrimination Referrals increase your chances of interviewing at Booz Allen Hamilton International (U.K.) Ltd. #J-18808-Ljbffr