Senior Data Architect

London Stock Exchange Group; Hyderabad; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Hybrid working arrangements

Annual Leave and Parental Leave

Upskilling opportunities

Wellbeing programs

Career growth and certifications

Job summary

London Stock Exchange Group (LSEG) is seeking a Data Architect to define, design, and govern the end‑to‑end data architecture for Billing processes. The role focuses on scalable data platforms, modeling, and modern analytics to support reporting and regulatory needs.

The ideal candidate will lead data acquisition, integration patterns, and cloud data warehouse strategies, leveraging Snowflake and AWS/Azure services to enable enterprise reporting and governance across domains.

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, 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.

Responsibilities

• Define and maintain the data architecture roadmap aligned with business strategies.
• Design scalable data architectures including operational, analytical, and reporting layers.
• Manage data models, canonical data models, and star schemas for reporting and analytics.
• Govern data ingestion, integration, and transformation frameworks using AWS tools and Spark-based platforms.
• Architect data warehouse, data lake, and lakehouse patterns on Snowflake and cloud platforms.
• Partner with BI teams to optimize data models for analytics and regulatory reporting.
• Lead data governance, metadata, and security framework implementations.
• Define orchestration standards and monitoring for data pipelines and reliability.

Skills

Data Architecture

Snowflake

AWS/Azure data services

ETL/ELT tooling

Data governance

Data modeling

Security & compliance

Stakeholder management

Tools

Snowflake

AWS Glue

Airflow

Databricks

Ab Initio

Matillion

DataStage

Job description

Role Overview

The Data Architect will be responsible for defining, designing, and governing the data architecture for the 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.

Key Responsibilities

• Enterprise Data Architecture 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.
• Data Acquisition & Integration Design and govern data ingestion, integration, and transformation frameworks using native AWS tools like Glue, AirFlow 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.
• Cloud Data Platform & Warehousing 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.
• Reporting & Analytics Enablement 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.
• Governance, Metadata & Security 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.
• Data Operations & Orchestration 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.

Required Skills & Experience

• 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.

Preferred Qualifications

• 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.

Benefits

• 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.

What you’ll get in return

High‑impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high‑value challenges.

Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.

Industry leadership: This is an opportunity to be a founding member of the organisation that’s delivering brand‑new products that democratise modelling and analytics solutions.

Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognise 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 days per week while some teams and colleagues choose to collaborate in the office more frequently.

We’re proud to be 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 Career Stage: Manager.

Information: 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.