# Senior Data Architect at LSEG

LSEG is hiring a Senior Data Architect in Hyderabad, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/fe851b52-f937-458e-a22b-ccb06d5a52a9?utm_medium=ai-agent).

AI Level 1, AI centrality 12 out of 100. IND-Hyderabad-CapitaLand.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 12 out of 100)
- Location: IND-Hyderabad-CapitaLand
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/fe851b52-f937-458e-a22b-ccb06d5a52a9?utm_medium=ai-agent

## Description

Role Overview: 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. 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-architect-at-lseg-790377

Source: https://jobsbylevel.com/jobs/senior-data-architect-at-lseg-790377

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-data-architect-at-lseg-790377.

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