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.
What if you could build a career where ambition meets innovation?
At LPL Financial 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 are proud to expand in Hyderabad.
Join us as we create something extraordinary together.
Job Overview:
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.
Responsibilities:
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Manage end to end data operations, including validation of incoming data sources, data integration and compilation, and downstream data distribution.
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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.
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Establish and maintain batch and ETL job lineage, ensuring compliance with governance policies and operational standards.
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Partner with Data Engineering to ensure operational controls are properly designed, implemented, and functioning effectively.
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Oversee the integration and execution of all inbound and outbound data processes.
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Identify and implement actionable improvements and optimizations to support increasing data volume, complexity, and business demand.
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Provide hands on support for user community training related to data usage, reporting, issue resolution, and production support.
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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.
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Design and implement frameworks and methodologies for deploying and scaling Data Operations solutions.
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Contribute to the vision, strategy, and roadmap for the Data Operations practice, including identifying opportunities for growth, efficiency, and modernization.
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Promote a strong culture of process documentation, data governance, operational discipline, and continuous improvement.
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Develop and integrate operational reports, KPI dashboards, and metrics packages to support technology leadership and decision making.
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Evaluate existing ETL platforms and identify alternative solutions when current hardware or software cannot efficiently support large scale data processing requirements.
What are we looking for?
We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements:
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Bachelor’s degree or equivalent experience in Data Operations, ETL, Batch Processing, or related fields, preferably within financial services.
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Experience with commercial workload scheduling tools such as AutoSys, BMC Control‑M, or equivalent.
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Strong expertise in AWS, including Apache Airflow, supporting cloud‑based ETL and real‑time data pipelines.
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Proven ability to deliver high‑performing, high‑availability data solutions.
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Excellent verbal and written communication skills, with the ability to collaborate effectively across IT and business teams.
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Hands‑on experience with ServiceNow, including Incident, Service Request, Change, Problem, Knowledge Management, and reporting modules.
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3-5 years of working experience is required in these areas.
Preferences:
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Experience within the financial or wealth management industry
Core Competencies:
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Able to make quick decisions and resolve complex technical problems
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Ability to manage through shift changes and effectively transition open and unresolved issues.
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Ability to adapt, learn new technologies, develop new processes, and improve procedures.
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Excellent documentation skills.
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Ability to write, read, interpret, and edit complex documents and correspondence with team members and stakeholders.
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Excellent verbal and written communication skills.
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Ability to work peak, off-peak, weekend, and holiday shifts.
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Ability to communicate and respond to communication effectively with client, associates, and stakeholders.
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Ability to perform problem-solving, use logic and creative thought processes to resolve complex technical problems.
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