# Data Architect **Company**: London Stock Exchange Group (LSEG) **Location**: London **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Finance **Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-Hyderabad-CapitaLand/Senior-Data-Architect_R0123306?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_bc17d8fb-032 ## Description The Data Architect will define, design, and govern the data architecture for Billing end-to-end process, enabling scalable, secure, and business-aligned data platforms. **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, 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. **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. **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. ## Skills ### Required - Data Architecture - Data Warehousing - Enterprise Data Modeling - Snowflake architecture - ETL/ELT platforms - AWS - Azure - data governance - metadata management - data lineage - data quality frameworks ### Nice to have - Financial Services - Risk Management - Regulatory Reporting - Compliance domains - enterprise data governance - cataloging platforms - modern data architectures - Data Lake - Lakehouse - Data Mesh concepts - AI/ML data platform requirements - analytics ecosystems --- Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-Hyderabad-CapitaLand/Senior-Data-Architect_R0123306?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)