EY
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.
The opportunity EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise.
As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
The selected candidate
Hands‑on design and implementation of scalable data pipelines, ETL processes, and data warehousing solutions aligned with Azure Well‑Architected Framework (WAF) pillars.
Accountable for a suite of data models with relatively high complexity, leveraging a strong understanding of data modelling standards to ensure high quality.
Drive best practices for data security, data privacy, and data integrity.
Ensure the reliability and efficiency of data infrastructure in the Azure cloud.
Understand AI‑driven data engineering tools and work on building cutting‑edge AI‑ready use cases.
Collaborate across departments to define and deliver business value, and interface with program teams, management, and stakeholders to deliver large, complex projects.
Your Key Responsibilities
Lead production of high‑quality data engineering deliverables, ensuring project timelines are met and mentoring junior team members.
Design, develop, and implement ETL processes to load data from disparate sources into analytics‑ready formats, reviewing deliverables for quality.
Define future‑state data architectures aligned with industry best practices and organizational needs.
Develop Data Architecture strategy and assess enterprise data architecture, providing recommendations.
Translate requirements, design, and solution architecture into detailed specifications.
Implement data management strategies that align with business objectives.
Lead data quality reviews, including cleansing and integration, and resolve related issues.
Provide technical leadership to maximize efficiency, reliability, and value from current data engineering processes.
Monitor industry trends such as cloud computing and distributed processing to assess potential impacts.
Research and identify new product opportunities from emerging technologies.
Collaborate with peers across engineering to develop leading data engineering solutions.
Ensure adherence to data engineering and modeling processes, procedures, and standards.
Skills and Attributes for Success
Design and implement data architecture solutions meeting organizational needs using Azure Well‑Architected Framework pillars.
Create Azure Infrastructure Architecture Diagrams (IAD) that clearly represent architecture.
Design efficient extraction of high‑volume structured and unstructured data with automated CDC.
Design ingestion strategy for batch and stream processing of transaction system data.
Build data processing models, including validation, quality, and profiling.
Design and produce complex data models with sound standards.
Design data storage models and data migration strategies.
Implement data consumption mechanisms via APIs, virtualization, and visualization tools.
Implement data governance—including catalogue, lineage, classification, MDM, and exploration.
Design authentication and authorization methods to ensure security.
Manage data integration strategies including ETL processes.
Required Technical Skills
Hands‑on experience building data architecture using patterns such as Data Mesh, Data Fabric, Data Lakehouse, Data Observability, and Data as a Service (DaaS).
Proficiency in Azure services (Data Lake, SQL Database, Synapse Analytics).
Experience building data orchestration with Azure Data Factory, Function App, and Logic App.
Proficient in SQL; familiar with Python and Java.
Extensive experience with Databricks performance optimization.
Design and build data platforms integrating disparate sources.
Experience designing authentication and authorization methods for data security.
Expertise in MPP design to accelerate performance of large databases.
Expertise in Azure, Azure Databricks, Azure SQL, Spark.
Experience developing dataflows using NiFi/ADF Databricks.
Hands‑on Spark architecture and implementation.
Experience with distributed message systems like Kafka.
Hands‑on Python, PySpark or R.
Expert in complex SQL query and procedure creation.
Understanding of big data and distributed architecture.
Experience creating ingestion workflows using Oozie or similar tools.
Knowledge of security measures such as HTTPS and Kerberos.
Beneficial Technical Skills
Azure Data Lake Store, Databricks Delta Lake.
Experience with NoSQL databases.
Advanced analytics, ML, and AI.
Knowledge of graph databases like Neo4J, CosmosDB.
Experience developing microservices.
Education
B.E. / M.S. in Computer Science, Data Analytics, Data Science, Engineering, IT, or related field preferred.
Big Data certification (Cloudera/Hortonworks/Databricks).
What We Look For
Strong analytical and problem‑solving skills.
A self‑starter, independent thinker, curious, creative, ambitious, and passionate.
Excellent interpersonal, communication, collaboration, and presentation skills.
Customer focused.
Excellent time‑management skills.
Positive and constructive mindset.
Committed to continuous self‑learning.
Leadership ability and decision‑making in critical situations.
Attention to detail.
High integrity and honesty.
What We Offer You The compensation ranges below comply with United States pay transparency laws. Other geographies follow local guidelines.
Comprehensive compensation and benefits package based on performance.
Base salary range (US): $145,500 – $280,000. New York City, Washington State, and California (excluding Sacramento): $174,500 – $318,200.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off.
Hybrid working model: most external client‑serving roles work in person 40–60% of the time.
Flexible vacation policy based on personal circumstances, plus EY Paid Holidays and various leaves of absence.
Seniority Level Director
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries: Professional Services
Are you ready to shape your future with confidence? Apply today. Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and need assistance applying online or requiring an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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The opportunity EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise.
As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
The selected candidate
Hands‑on design and implementation of scalable data pipelines, ETL processes, and data warehousing solutions aligned with Azure Well‑Architected Framework (WAF) pillars.
Accountable for a suite of data models with relatively high complexity, leveraging a strong understanding of data modelling standards to ensure high quality.
Drive best practices for data security, data privacy, and data integrity.
Ensure the reliability and efficiency of data infrastructure in the Azure cloud.
Understand AI‑driven data engineering tools and work on building cutting‑edge AI‑ready use cases.
Collaborate across departments to define and deliver business value, and interface with program teams, management, and stakeholders to deliver large, complex projects.
Your Key Responsibilities
Lead production of high‑quality data engineering deliverables, ensuring project timelines are met and mentoring junior team members.
Design, develop, and implement ETL processes to load data from disparate sources into analytics‑ready formats, reviewing deliverables for quality.
Define future‑state data architectures aligned with industry best practices and organizational needs.
Develop Data Architecture strategy and assess enterprise data architecture, providing recommendations.
Translate requirements, design, and solution architecture into detailed specifications.
Implement data management strategies that align with business objectives.
Lead data quality reviews, including cleansing and integration, and resolve related issues.
Provide technical leadership to maximize efficiency, reliability, and value from current data engineering processes.
Monitor industry trends such as cloud computing and distributed processing to assess potential impacts.
Research and identify new product opportunities from emerging technologies.
Collaborate with peers across engineering to develop leading data engineering solutions.
Ensure adherence to data engineering and modeling processes, procedures, and standards.
Skills and Attributes for Success
Design and implement data architecture solutions meeting organizational needs using Azure Well‑Architected Framework pillars.
Create Azure Infrastructure Architecture Diagrams (IAD) that clearly represent architecture.
Design efficient extraction of high‑volume structured and unstructured data with automated CDC.
Design ingestion strategy for batch and stream processing of transaction system data.
Build data processing models, including validation, quality, and profiling.
Design and produce complex data models with sound standards.
Design data storage models and data migration strategies.
Implement data consumption mechanisms via APIs, virtualization, and visualization tools.
Implement data governance—including catalogue, lineage, classification, MDM, and exploration.
Design authentication and authorization methods to ensure security.
Manage data integration strategies including ETL processes.
Required Technical Skills
Hands‑on experience building data architecture using patterns such as Data Mesh, Data Fabric, Data Lakehouse, Data Observability, and Data as a Service (DaaS).
Proficiency in Azure services (Data Lake, SQL Database, Synapse Analytics).
Experience building data orchestration with Azure Data Factory, Function App, and Logic App.
Proficient in SQL; familiar with Python and Java.
Extensive experience with Databricks performance optimization.
Design and build data platforms integrating disparate sources.
Experience designing authentication and authorization methods for data security.
Expertise in MPP design to accelerate performance of large databases.
Expertise in Azure, Azure Databricks, Azure SQL, Spark.
Experience developing dataflows using NiFi/ADF Databricks.
Hands‑on Spark architecture and implementation.
Experience with distributed message systems like Kafka.
Hands‑on Python, PySpark or R.
Expert in complex SQL query and procedure creation.
Understanding of big data and distributed architecture.
Experience creating ingestion workflows using Oozie or similar tools.
Knowledge of security measures such as HTTPS and Kerberos.
Beneficial Technical Skills
Azure Data Lake Store, Databricks Delta Lake.
Experience with NoSQL databases.
Advanced analytics, ML, and AI.
Knowledge of graph databases like Neo4J, CosmosDB.
Experience developing microservices.
Education
B.E. / M.S. in Computer Science, Data Analytics, Data Science, Engineering, IT, or related field preferred.
Big Data certification (Cloudera/Hortonworks/Databricks).
What We Look For
Strong analytical and problem‑solving skills.
A self‑starter, independent thinker, curious, creative, ambitious, and passionate.
Excellent interpersonal, communication, collaboration, and presentation skills.
Customer focused.
Excellent time‑management skills.
Positive and constructive mindset.
Committed to continuous self‑learning.
Leadership ability and decision‑making in critical situations.
Attention to detail.
High integrity and honesty.
What We Offer You The compensation ranges below comply with United States pay transparency laws. Other geographies follow local guidelines.
Comprehensive compensation and benefits package based on performance.
Base salary range (US): $145,500 – $280,000. New York City, Washington State, and California (excluding Sacramento): $174,500 – $318,200.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off.
Hybrid working model: most external client‑serving roles work in person 40–60% of the time.
Flexible vacation policy based on personal circumstances, plus EY Paid Holidays and various leaves of absence.
Seniority Level Director
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries: Professional Services
Are you ready to shape your future with confidence? Apply today. Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and need assistance applying online or requiring an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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