Data Platform Engineering Lead

LSEG (London Stock Exchange Group) is one of the world’s leading providers of financial markets infrastructure and delivers financial data, analytics, news and index products to more than 40,000 customers in over 170 countries. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us.

We help organizations fund innovation, manage risk and create jobs by partnering with customers at every point in the trade lifecycle: from informing their pre-trade decisions and executing trades to raising capital, clearing and optimization.

Backed by more than three centuries of experience, innovative technologies and a team of 25,000 people in over 60 countries, we are driving financial stability, empowering economies and enabling you to grow sustainably.

Role Description:

As a Director of Software Engineering, you’ll design and implement functionalities, focusing on Data Engineering tasks. You’ll be working with semi-structured data to ingest and distribute it on a Microsoft Fabric-based platform, modernizing data products and distribution channels. You’ll drive the software development lifecycle for continuous data delivery and lead the evaluation and adoption of emerging technologies.

Key Responsibilities:

Provide partnership and support to SME’s and Tech Leads to ensure delivery on commitments

• Build and maintain secure and compliant production data processing pipelines on Microsoft fabric and azure to ingest, land and transform data to on data product.
• Ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints.
• Design, implement, monitor, and optimize data platforms to meet the data pipelines needs from functional and non-functional requirements
• Responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming, and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, implementing required monitoring and telemetry and accessing external data sources.
• Design and operationalize large scale enterprise data solutions and applications using one or more Azure data and analytics services.
• Implement data solutions that use the following Azure services: Delta.io, Lakehouse, Fabric, Azure Cosmos DB, , Azure Data Factory, Spark, and Azure Blob storage, Microsoft Purview etc.

Skills and experience:

Depending on seniority relevant experience in Data Platforms (in Financial Services industry), Azure’s PaaS/SaaS offerings (Fabric, Synapse, Purview, ADF, Azure Data Lake Storage etc.)

Proven experience as a data engineer or similar role, with a focus on cloud distributed data processing platform for spark, and modern open table concept like delta/iceberg.

Strong experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates.

Strong proficiency in Spark, SQL, and Python/scala/Java.

Experience in building Lakehouse architecture using open-source table formats like delta, parquet and tools like jupyter notebook.

Strong notions of security processes (e.g., using Azure Key Vault, IAM, RBAC, Monitor etc.).

Proficient in integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.

Understand the data through exploration, experience with processes related to data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement.

Ability to think strategically and operate in day-to-day delivery mode requirement of the role.

Demonstrates ability to understand business requirements and the implications of those requirements on current and future roadmaps.

High level understanding of Azure DevOps

Agile development processes (SCRUM and Kanban)

Strong communication, presentation, documentation, and interpersonal skills

Able to self-manage and work independently in a fast-paced environment with dynamic requirements and priorities.

Compensation/Benefits Information:

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $173,900 - $289,900.

Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.