Data Engineering Senior Analyst

EY • Atlanta, DC

4d • $85,200 - $181,000 • Hybrid

About The Position

The Data Engineering Senior Analyst enables Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, for enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem. The role provides hands-on data engineering and platform expertise to ensure data availability, integrity, security, and performance, while partnering with Talent Delivery, IMT, Digital Talent, and reporting teams on business-critical reporting and TIA transformation initiatives.

The position supports data engineering and platform operations, system and change management, data security and governance, reporting and analytics delivery, and cross-team collaboration. It analyzes complex requirements, recommends appropriate data sources and transformations, evaluates risks and trade-offs, and supports continuous improvement. The role requires significant data engineering, data operations, or analytics platform support experience, including enterprise Databricks pipeline development and SSIS/SSMS development.

A bachelor’s degree in data, technology, engineering, or a related field is required. A master’s or higher professional qualification and active membership in related professional bodies or industry groups are preferred but not required. Flexibility across time zones and occasional travel may be required. The role follows EY’s team-led, leader-enabled hybrid model; for most external, client-serving roles, the expectation is in-person collaboration 40–60% of the time over an engagement, project, or year.

Requirements

• 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, including notebooks, jobs, workflows, and performance tuning.
• Proven developmental experience with SSIS and SSMS.
• Proficiency in SQL and experience with SSIS, SSMS, or equivalent data integration and transformation tools.
• Solid understanding of data architectures, ETL processes, data modeling, and reporting ecosystems.
• Strong experience in data engineering and analytics environments; experience in HR or Talent domains is identified as ideal.
• Knowledge of HR data, people metrics, and Talent processes such as recruiting, learning, performance, and workforce data.
• Strong awareness of data privacy, information security, and data quality principles.
• Experience supporting global teams and stakeholders across regions and time zones.
• Ability to anticipate issues, manage risk, and deliver outcomes under pressure and ambiguity.
• Ability to work effectively amid ambiguity and drive change and performance outcomes in a complex, agile environment.
• Excellent written and verbal English communication skills.
• Flexibility across time zones and occasional travel may be required.

Nice To Haves

• Master’s degree or higher professional qualification in a related field or discipline.
• Active membership in related professional bodies or industry groups.
• Experience in HR or Talent data engineering and analytics environments.

Responsibilities

• Design, build, and maintain data pipelines and transformations using Databricks, SQL, and enterprise ETL tools for Talent reporting and analytics.
• Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.
• Manage and support analytics platforms and environments, including analytics sandboxes, remote desktop environments, data storage, and related services, in partnership with IT and TIA teams.
• Ensure reliability, performance, and scalability across production and non-production environments.
• Understand and advise on Talent data flows across source systems, Databricks, and reporting layers, including the impacts of changes.
• Coordinate and support mass data, hierarchy, and organizational changes arising from Talent or structural transformations.
• Partner with IMT and Talent Delivery on system upgrades, releases, and enhancements affecting pipelines, data models, and downstream reports.
• Participate in UAT, validation, and post-deployment support for data and reporting solutions.
• Assess and communicate how system or data changes affect reports, dashboards, and analytics outputs.
• Support secure data access through appropriate role-based access, data controls, and compliance with HR privacy and legal requirements.
• Act as a subject matter expert and escalation point for data security, access controls, privacy considerations, and complex access or security issues.
• Promote and support data governance, data quality, and standardization principles across TIA solutions.
• Ensure data pipelines and sources are stable, accurate, and suitable for reporting and analytics delivery.
• Support 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.
• Work with Talent stakeholders, reporting teams, Talent Delivery, and IMT to understand data needs and translate them into technical solutions.
• Serve as a technical liaison between business users and technology teams for data requirements and issues.
• Contribute to documentation, knowledge sharing, and cross-skilling to reduce single points of dependency.
• Help identify work that can be simplified, retired, or modernized as part of TIA transformation.
• Analyze complex data and reporting requirements to determine data sources, transformations, and delivery approaches.
• Assess trade-offs involving speed, quality, risk, and sustainability when designing data solutions.
• Identify data integrity, security, and scalability risks and recommend mitigation actions.
• Track requirements and defects for future system releases or enhancements.
• Build effective working relationships with senior stakeholders across Talent, Digital, and Technology teams, and contribute to mentoring and team capability.
• Conduct internal and external research and analysis, providing best practices and insights to drive improvements.

Benefits

• Medical coverage
• Dental coverage
• Pension plans
• 401(k) plans
• Flexible vacation policy
• EY Paid Holidays
• Winter and Summer breaks
• Personal and Family Care time off
• Other leaves of absence to support physical, financial, and emotional well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Senior