Principal data architect
bp
Job Description:
Architecture solves big complex challenges with our data and technology expertise to help bp advance a lower carbon future. We collaboratively work together to meet our customer's needs. Architects connect all the digital disciplines and the consumers and procurers of technology, to create an integrated, flexible, effective digital architecture for bp.
We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise data solutions. While most data architect roles focus heavily on analytics, this role will emphasize operational data use cases - designing data flows that support day-to-day business operations, core applications, and real-time services - while also ensuring robust analytical and reporting capabilities. The ideal candidate will have a strong background in enterprise architecture, data strategy, and cloud technologies, with the ability to align both operational and analytical data initiatives with business objectives.
Key responsibilities
Define and implement enterprise data architecture, ensuring alignment with both operational and analytical business needs.
Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes.
Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise.
Establish and maintain reference data management frameworks and governance processes.
Develop and execute data strategies, including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration.
Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting).
Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains.
Drive adoption of governance frameworks, data quality practices, and remediation of technical debt.
Collaborate with application, integration, and analytics teams to deliver end-to-end data solutions.
Evaluate and select tools for operational integration (streaming, APIs, MDM) and analytical processing (warehouses, BI platforms).
Design and maintain conceptual, logical, and domain models spanning both transactional and analytical data.
Mentor and guide teams in data architecture, integration, and business intelligence best practices
What you will need to be successful (experience and qualifications)
Skills
15-20 years of experience in enterprise data architecture, data strategy, and cloud architecture.
Expertise in operational data use cases: real-time data processing, APIs, messaging/streaming (Kafka, Pub/Sub, MQ), MDM, and transactional data flows.
Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD).
Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption.
Experience establishing reference data management and data quality practices at enterprise scale.
Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines.
Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure).
Experience with both transactional RDBMS and modern distributed/cloud-native databases.
Familiarity with reporting and analytics tools (e.g., Tableau, Data Studio, Business Objects, Cognos, R).
Skilled in architecture methodologies such as TOGAF
Excellent communication, stakeholder management, and leadership skills.
Qualifications
Bachelor's degree in engineering, Computer Science, or related field (Master's preferred).
Professional certifications such as CDMP (DAMA), Google Cloud Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert, or equivalent
Experience
Previous roles in large-scale enterprise environments.
Experience in designing and implementing data solutions for operational resilience.
Track record of delivering enterprise data capability models, domain-driven architectures, and MDM strategies.
Travel Requirement
Up to 10% travel should be expected with this role
Relocation Assistance:
This role is eligible for relocation within country
Remote Type:
This position is a hybrid of office/remote working
Skills:
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
Architecture solves big complex challenges with our data and technology expertise to help bp advance a lower carbon future. We collaboratively work together to meet our customer's needs. Architects connect all the digital disciplines and the consumers and procurers of technology, to create an integrated, flexible, effective digital architecture for bp.
We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise data solutions. While most data architect roles focus heavily on analytics, this role will emphasize operational data use cases - designing data flows that support day-to-day business operations, core applications, and real-time services - while also ensuring robust analytical and reporting capabilities. The ideal candidate will have a strong background in enterprise architecture, data strategy, and cloud technologies, with the ability to align both operational and analytical data initiatives with business objectives.
Key responsibilities
Define and implement enterprise data architecture, ensuring alignment with both operational and analytical business needs.
Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes.
Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise.
Establish and maintain reference data management frameworks and governance processes.
Develop and execute data strategies, including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration.
Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting).
Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains.
Drive adoption of governance frameworks, data quality practices, and remediation of technical debt.
Collaborate with application, integration, and analytics teams to deliver end-to-end data solutions.
Evaluate and select tools for operational integration (streaming, APIs, MDM) and analytical processing (warehouses, BI platforms).
Design and maintain conceptual, logical, and domain models spanning both transactional and analytical data.
Mentor and guide teams in data architecture, integration, and business intelligence best practices
What you will need to be successful (experience and qualifications)
Skills
15-20 years of experience in enterprise data architecture, data strategy, and cloud architecture.
Expertise in operational data use cases: real-time data processing, APIs, messaging/streaming (Kafka, Pub/Sub, MQ), MDM, and transactional data flows.
Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD).
Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption.
Experience establishing reference data management and data quality practices at enterprise scale.
Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines.
Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure).
Experience with both transactional RDBMS and modern distributed/cloud-native databases.
Familiarity with reporting and analytics tools (e.g., Tableau, Data Studio, Business Objects, Cognos, R).
Skilled in architecture methodologies such as TOGAF
Excellent communication, stakeholder management, and leadership skills.
Qualifications
Bachelor's degree in engineering, Computer Science, or related field (Master's preferred).
Professional certifications such as CDMP (DAMA), Google Cloud Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert, or equivalent
Experience
Previous roles in large-scale enterprise environments.
Experience in designing and implementing data solutions for operational resilience.
Track record of delivering enterprise data capability models, domain-driven architectures, and MDM strategies.
Travel Requirement
Up to 10% travel should be expected with this role
Relocation Assistance:
This role is eligible for relocation within country
Remote Type:
This position is a hybrid of office/remote working
Skills:
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
JOB SUMMARY
Principal data architect
bp
Pune
2 hours ago
N/A
Full-time
Principal data architect