Senior Data Architect
LSEG
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Job summary
London Stock Exchange Group (LSEG) in Bengaluru seeks a Data Architect to define, design, and govern end-to-end data architecture for Billing, enabling scalable, secure, and business-aligned data platforms.
You will lead data modeling, warehouse design, and governance across data flows, partnering with analytics and reporting teams to deliver trusted data for regulatory reporting and advanced analytics.
Qualifications
- Extensive experience in Data Architecture, Data Warehousing, and Enterprise Data Modeling.
- Strong expertise in Snowflake architecture, administration, and performance optimization.
- Experience with ETL/ELT platforms such as AWS Glue, Airflow, or similar tools.
- Deep understanding of dimensional modeling, data vault, and enterprise modeling techniques.
- Hands-on with AWS and/or Azure data services.
- Knowledge of data governance, metadata management, and data lineage.
Responsibilities
- Define and maintain the data architecture roadmap aligned with business and technology strategies.
- Design scalable data architectures across operational, analytical, and reporting layers.
- Establish enterprise data models with conceptual, logical, and physical representations.
- Develop dimensional models, star schemas, and canonical data models for reporting.
- Drive standards for data platforms, integration patterns, and best practices.
Skills
Tools
Job description
The Data Architect will be responsible for defining, designing, and governing the data architecture for Billing end to end process, that enables scalable, secure, and business-aligned data platforms! This role requires deep expertise in data modeling, cloud data warehousing, integration patterns, governance frameworks, and modern analytics architectures to support reporting, regulatory compliance, and advanced analytics.
The Data Architect will be responsible for defining, designing, and governing the data architecture for Billing end to end process, that enables scalable, secure, and business-aligned data platforms! This role requires deep expertise in data modeling, cloud data warehousing, integration patterns, governance frameworks, and modern analytics architectures to support reporting, regulatory compliance, and advanced analytics.
- Define and maintain the data architecture roadmap aligned with business and technology strategies.
- Design scalable and reusable data architectures, including operational, analytical, and reporting data layers.
- Establish enterprise data models, conceptual, logical, and physical data models, ensuring consistency across domains.
- Develop and maintain dimensional models, star schemas, and canonical data models to support reporting and analytics requirements.
- Drive architecture standards, design patterns, and best practices for data platforms and integrations.
- Design and govern data ingestion, integration, and transformation frameworks using native AWS tools like Glue, Air Flow and Snowflake , Data Bricks as Data Store
- Architect data pipelines and integration patterns for structured, semi-structured, and unstructured data sources.
- Ensure end-to-end data lineage, reconciliation, and traceability across all billing process data flows.
- Define standards for data quality, validation, and data synchronization across platforms.
- Optimize data movement and transformation processes for performance, scalability, and cost efficiency.
- Architect enterprise data solutions leveraging Snowflake and cloud platforms including AWS.
- Define data storage, compute, security, and data lifecycle management strategies.
- Design modern data warehouse, data lake, and lakehouse architectures to support enterprise-wide reporting and analytics.
- Establish standards for data partitioning, clustering, performance optimization, and workload management.
- Collaborate with infrastructure and engineering teams to ensure resilient and scalable data environments.
- Partner with reporting and analytics teams to ensure data architectures support business intelligence and self-service analytics.
- Define and maintain certified data products and semantic layers for reporting tools such as Power BI.
- Ensure data models are optimized for analytical consumption and regulatory reporting requirements.
- Enable consistent metrics, KPIs, and master data definitions across business functions.
- Lead implementation of enterprise data governance frameworks, standards, and policies.
- Establish and manage metadata management, business glossaries, and data catalog capabilities.
- Define data security architecture, including role-based access controls, encryption, masking, and regulatory compliance requirements.
- Ensure adherence to audit, risk, privacy, and regulatory standards.
- Promote data stewardship and ownership across business and technology teams.
- Define standards for workflow orchestration and scheduling using Control-M or equivalent enterprise scheduling tools.
- Design monitoring frameworks for data quality, pipeline reliability, and operational excellence.
- Ensure high availability, disaster recovery, and business continuity considerations are embedded into data architecture designs.
- Extensive experience in Data Architecture, Data Warehousing, and Enterprise Data Modeling.
- Strong expertise in Snowflake architecture, administration, and performance optimization.
- Experience with ETL/ELT platforms such as AWS Glue, Airflow, Ab Initio, Matillion, DataStage, or comparable technologies.
- Deep understanding of dimensional modeling, star schema, data vault, and enterprise data modeling techniques.
- Hands-on experience with AWS and/or Azure data services.
- Strong knowledge of data governance, metadata management, data lineage, and data quality frameworks.
- Experience defining architecture standards, integration patterns, and technology roadmaps.
- Understanding of security, compliance, and risk management principles for enterprise data environments.
- Strong stakeholder management, communication, and documentation skills.
- Experience within Financial Services, Risk Management, Regulatory Reporting, or Compliance domains.
- Familiarity with enterprise data governance and cataloging platforms such as Collibra, Alation, or Microsoft Purview.
- Experience implementing modern data architectures including Data Lake, Lakehouse, and Data Mesh concepts.
- Knowledge of AI/ML data platform requirements and analytics ecosystems.
- Professional certifications in Snowflake, AWS, Azure, or Enterprise Architecture frameworks.
- Strong analytical, problem-solving, and strategic thinking capabilities.
- Equal opportunity employer with hybrid working arrangements.
- Annual Leave and Parental Leave benefits.
- Upskilling opportunities through role-relevant training and certifications.
- Dedicated Employee Assistance and Wellbeing Programs.
- Opportunity to work on enterprise-scale data transformation and analytics initiatives.
- Collaborative environment focused on innovation, growth, and continuous learning.
We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.
We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered 'Blended', which requires attending the office at least three day per week while some teams and colleagues choose to collaborate in the office more frequently.
We're proud to have been recognised as a Great Place to Work in India '25
Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG
Manager
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
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