Engineer - Data and Batch Operations

Where Ambition Meets Innovation

At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.

Join us as we create something extraordinary together.

Data and Batch Operations engineer is responsible for managing, monitoring, and optimizing batch and ETL-based data operations to support high-performing, high-availability data platforms. This role partners closely with Data Engineering, Product, and Technology teams to ensure data quality, operational excellence, and scalable data solutions—preferably within a financial services environment.

Qualifications

• Bachelor’s degree or equivalent experience in Data Operations, ETL, Batch Processing, or related fields, preferably within financial services.
• Experience with commercial workload scheduling tools such as AutoSys, BMC Control‑M, or equivalent.
• Strong expertise in AWS, including Apache Airflow, supporting cloud‑based ETL and real‑time data pipelines.
• Proven ability to deliver high‑performing, high‑availability data solutions.
• Excellent verbal and written communication skills, with the ability to collaborate effectively across IT and business teams.
• Hands‑on experience with ServiceNow, including Incident, Service Request, Change, Problem, Knowledge Management, and reporting modules.
• 7-10 years of working experience is required in these areas.

Responsibilities

• Manage end‑to‑end data operations, including validation of incoming data sources, data integration and compilation, and downstream data distribution.
• Ensure best‑in‑class data quality and accuracy by defining, building, and tracking data accuracy KPIs to provide insights to Product and Data Engineering teams.
• Establish and maintain batch and ETL job lineage, ensuring compliance with governance policies and operational standards.
• Partner with Data Engineering to ensure operational controls are properly designed, implemented, and functioning effectively.
• Oversee the integration and execution of all inbound and outbound data processes.
• Identify and implement actionable improvements and optimizations to support increasing data volume, complexity, and business demand.
• Provide hands‑on support for user community training related to data usage, reporting, issue resolution, and production support.
• Monitor, triage, prioritize, and assign Data Operations work intake from ServiceNow, IT Service Desk, IT Demand processes, IT Business Partners, and other data and analytics intake channels.
• Design and implement frameworks and methodologies for deploying and scaling Data Operations solutions.
• Contribute to the vision, strategy, and roadmap for the Data Operations practice, including identifying opportunities for growth, efficiency, and modernization.
• Promote a strong culture of process documentation, data governance, operational discipline, and continuous improvement.
• Develop and integrate operational reports, KPI dashboards, and metrics packages to support technology leadership and decision‑making.
• Evaluate existing ETL platforms and identify alternative solutions when current hardware or software cannot efficiently support large‑scale data processing requirements.

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