Data Engineering Senior Analyst

EY US • Los Angeles, NY

5d • $85,200 - $159,300

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Summary: The Data Engineering Senior Analyst enables Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, that support enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem. This role provides hands-on data engineering and platform expertise, ensuring data availability, integrity, security, and performance, while partnering with Talent Delivery, IMT (Information Management Technology), Digital Talent, and reporting teams to support business-critical reporting and TIA transformation initiatives.

Requirements

• Strong experience in data engineering and analytics environments, ideally within HR or Talent domains.
• Hands‑on experience with Databricks (data pipelines, notebooks, jobs, workflows, performance tuning)
• Proficiency in SQL and experience with SSIS, SSMS, or equivalent data integration and transformation tools.
• Solid understanding of data architectures, ETL processes, data modelling and reporting ecosystems.
• Knowledge of HR data, people metrics, and Talent processes (e.g., recruiting, learning, performance, workforce data).
• Strong awareness of data privacy, information security, and data quality principles.
• Works closely with other data engineers, reporting analysts, and operations resources to ensure consistent and reliable delivery.
• Builds and maintains effective working relationships with senior stakeholders across Talent, Digital, and Technology teams.
• Contributes to mentoring, knowledge sharing, and strengthening team capability
• Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment
• Due to the global nature of the role, flexibility across time zones and occasional travel may be required.
• Excellent written and verbal English communication skills are essential.
• Bachelor’s degree in data, Technology, Engineering, or a related field.
• Significant experience in data engineering, data operations, or analytics platform support.
• Hands‑on experience building and supporting data pipelines using Databricks in an enterprise analytics environment.
• Proven SSIS & SSMS developmental experience
• Experience supporting global teams and stakeholders across regions and time zones.
• Demonstrated ability to anticipate issues, manage risk, and deliver outcomes under pressure and ambiguity.
• Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements

Nice To Haves

• Master’s or higher professional qualification preferred, but not required
• Higher professional or master’s qualification in a related discipline is preferred, not required
• Active membership in related professional bodies or industry groups is preferred, not required

Responsibilities

• Data Engineering & Platform Operations Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools to support Talent reporting and analytics.
• Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.
• Manage and support analytics platforms and environments (e.g., analytics sandbox, remote desktop environments, data storage, and associated services) in partnership with IT and TIA teams.
• Ensure data reliability, performance, and scalability across production and non‑production environments.
• Maintain a strong understanding of how Talent data flows across source systems, Databricks, and reporting layers, and advise teams on impacts of changes.
• System & Change Management Coordinate and support mass data, hierarchy, and organizational changes driven by Talent or structural transformations.
• Partner with IMT and Talent Delivery teams to Support system upgrades, releases, and enhancements impacting Databricks pipelines, data models, and downstream reports.
• Participate in User Acceptance Testing (UAT), validation, and post‑deployment support for data and reporting solutions.
• Proactively assess and communicate impact of system or data changes on reports, dashboards, and analytics outputs.
• Data Security, Privacy & Governance Act as a subject matter expert on data security, access controls, and privacy considerations within Talent analytics platforms.
• Support secure data access by ensuring appropriate role‑based access, data controls, and compliance with HR data privacy and legal requirements.
• Serve as an escalation point for complex data access or security issues, partnering with operations and IT teams as needed.
• Promote and support data governance, data quality, and standardization principles across TIA solutions.
• Support to Reporting & Analytics Delivery Enable reporting and analytics teams by ensuring data pipelines and sources are stable, accurate, and fit for purpose.
• Support delivery of business‑critical reports and dashboards in line with agreed service levels.
• Troubleshoot data issues, investigate defects, and manage incident resolution, root‑cause analysis, and remediation.
• Track recurring issues and contribute to continuous improvement of data engineering and platform processes.
• Stakeholder & Cross‑Team Collaboration Work closely with Talent stakeholders, reporting teams, Talent Delivery, and IMT to understand data needs and translate them into technical solutions.
• Act as a technical liaison between business users and technology teams for data ‑related requirements and issues.
• Contribute to documentation, knowledge sharing, and cross‑skilling initiatives to reduce single points of dependency.
• Support TIA transformation by helping identify work that can be simplified, retired, or modernized
• Analyse complex data and reporting requirements to determine optimal data sources, transformations, and delivery approaches.
• Assess trade‑offs between speed, quality, risk, and sustainability when designing data solutions.
• Identify risks related to data integrity, security, or scalability and proactively recommend mitigation actions.
• Track requirements and defects for inclusion in future system releases or enhancements.
• Works closely with other data engineers, reporting analysts, and operations resources to ensure consistent and reliable delivery.
• Builds and maintains effective working relationships with senior stakeholders across Talent, Digital, and Technology teams.
• Contributes to mentoring, knowledge sharing, and strengthening team capability
• Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment

Benefits

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
• The base salary range for this job in all geographic locations in the US is $85,200 to $159,300.
• The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $102,200 to $181,000.
• Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
• In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances.
• You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees