Principal data architect

Principal Data Architect - Pune, India

Join BP's Technology group in Pune, India, as a Principal Data Architect. Our Architecture team tackles complex data and technology challenges to support BP's mission for a lower-carbon future. We foster collaboration to meet customer needs, connecting digital disciplines and technology stakeholders to build an integrated, flexible, and effective digital architecture for BP.

About the Role:

We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise data solutions. This role emphasizes operational data use cases, focusing on data flows that support daily business operations, core applications, and real-time services, while also ensuring robust analytical and reporting capabilities. The ideal candidate will possess a strong foundation 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, aligning with both operational and analytical business needs.
• Lead domain-driven data modeling across conceptual, logical, and physical layers.
• Oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption.
• Establish and maintain reference data management frameworks and governance processes.
• Develop and execute data strategies encompassing future state architecture, data governance, metadata management, data privacy, reference data management, and data integration.
• Lead the design and review of data architectures for operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting).
• Establish and enforce data architecture standards, principles, and best practices.
• 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 for transactional and analytical data.
• Mentor and guide teams in data architecture, integration, and business intelligence best practices.

What You Will Need to Be Successful:

Skills and Experience:

• 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.
• 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 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.

Additional 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.

Additional Information:

• Travel Requirement: Up to 10% travel is expected.
• Relocation Assistance: This role is eligible for relocation within India.
• Remote Type: This position offers a hybrid of office and remote working.

BP is an equal opportunity employer. We value diversity and 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. Accommodations are available for individuals with accessibility needs during the recruitment process.

Employment may be contingent upon adherence to local policies, including pre-placement drug screening, medical review of physical fitness, and background checks.