Data Architect

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Data Architect

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EY

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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 to align 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; build cutting‑edge AI‑ready use cases and ensure availability of AI ready data.

Work with other departments across the business to help define and deliver business value, interfacing and communicating with program teams, management and stakeholders to deliver large, complex projects.

Your Key Responsibilities Include

Leading the production of high‑quality data engineering deliverables, ensuring project timelines are met, and providing informal mentoring / training to junior team members.

Leading the design, development and implementation of processes to extract, transform and load data from disparate sources into a consumable form for analytics.

Develop and define future state data architectures aligned with industry best practices and organizational needs.

Proficient in designing data architecture strategy, developing data architecture for modern data platform, assessing enterprise existing data architecture and devising recommendations.

Leading translation of requirements, design and solution architecture deliverables into detailed design specifications.

Define and implement data management strategies to align with business objectives.

Leading delivery of data quality reviews including data cleansing where required to ensure integrity and quality.

Evaluate and resolve issues regarding data quality reviews, cleansing, data integration and migration, leveraging advanced technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement.

Provide a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place.

Analyze industry trends such as cloud computing and distributed processing and infer potential impact on businesses.

Provide advanced technical expertise to maximize efficiency, reliability and value from current data engineering processes; research and monitor emerging technologies to identify new product opportunities.

Develop strong relationships with peers across engineering, collaborating to develop leading data engineering solutions.

Drive adherence to data engineering and data modelling processes, procedures, standards, and provide input into technology standards.

Skills And Attributes For Success

Data Architecture : Design and implement solutions using Azure Well‑Architected Framework pillars.

Infrastructure Architecture Diagrams : Create Azure Infrastructure Architecture Diagrams (IAD) that represent data solutions.

Data Extraction : Efficiently extract high volumes structured and unstructured data with automation CDC capability.

Data Ingestion : Design efficient batch and stream ingestion strategies for transactional systems.

Data Processing : Design and implement models, capabilities and solutions for data validation, quality and profiling.

Data Modeling : Design and produce complex data models, ensuring high quality.

Data Store : Design storage models and migration strategies.

Data Consumption : Design APIs, virtualization and visualization mechanisms.

Data Governance : Design governance mechanisms including catalogue, lineage, classification, MDM, exploration.

Data Security : Design authentication and authorization methods.

Data Integration : Develop and manage ETL processes for seamless data flow.

Required Technical Skills

Hands‑on experience building Data Architecture using patterns such as Data Mesh, Data Fabric, Data Lakehouse, Data observability & Data as a Service (DaaS).

Proficient in Azure services (Azure Data Lake, Azure SQL Database, Azure Synapse Analytics).

Experience building data orchestration with Azure Data Factory, Function App, Logic App.

Proficient in SQL and familiar with Python and Java.

Extensive experience on Databricks performance optimization.

Experience designing and building Data Platforms integrating disparate data sources.

Experience in authentication and authorization methods.

Expertise in MPP designs for high performance.

Expertise in Azure, Azure Data Bricks, Azure SQL, Spark.

Expertise developing dataflows using NiFi / ADF, Databricks.

Advanced design and implementation of large analytic warehouses.

Experience with Spark architecture and various methods.

Experience with Distributed Message Systems like Kafka.

Hands‑on experience with Python, PySpark or R.

Expert in complex SQL queries and procedures.

Understanding of big data and distributed architecture.

Experience creating ingestion workflows using Oozie or similar tools.

Knowledge of security measures like HTTPS and Kerberos.

Beneficial Technical Skills

Azure Data Lake Store, Databricks Delta Lakes.

Experience with NoSQL databases.

Advanced Analytics, ML and AI.

Knowledge in Graph Databases, preferably Neo4J, Cypher and CosmosDB.

Experience developing Microservices.

Education

B.E. / M.S. Computer Science, Data Analytics, Data Science, Engineering, IT, or related field preferred.

Big Data Certification from Cloudera / Hortonworks / Databricks.

What We Look For

Strong analytical skills and problem‑solving ability.

A self‑starter, independent thinker, curious and creative person with ambition and passion.

Excellent interpersonal, communication, collaboration, and presentation skills.

Customer focused.

Excellent time management skills.

Positive and constructively minded.

Responsible for continuous learning.

Leadership and decision making in critical times.

Attention to detail.

High integrity and honesty.

What We Offer You

The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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 $145,500 to $280,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $174,500 to $318,200. 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.

Join us in a team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40–60% of the time over the course of an engagement, project or year.

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.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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 either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select 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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