Data Analyst - Tech Cons-Data & Analytics-Data Arch & Eng-FSO-Manager - Multiple Positions - 1726139

EY; Dallas (TX); Hybrid; USD 201,385 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Hybrid work model

Job summary

EY seeks a Data Analyst in Technology Consulting to architect modern data platforms and data products for Financial Services clients in Dallas. You will lead engineering efforts across data architectures, data marketplaces and governance, focusing on risk control and information intelligence.

Expect 40–45 hours per week with travel up to 60% and a holistic benefits package including health coverage and a hybrid work model. A relevant degree with 4–5 years of progressive experience is required.

Qualifications

• Requires a bachelor’s degree in a related field and progressive work experience.
• 4–5 years of data architecture/engineering experience in finance or a similar industry.
• Experience with Data Architecture, Cloud Modernization, Data Products, and Data Mesh.
• Knowledge of traditional RDBMS, NoSQL, and distributed data platforms.
• Hands-on exposure to hyperscalers (AWS/GCP/Azure) and modern data platforms.

Responsibilities

• Translate business challenges into data architecture and engineering solutions.
• Lead cross‑functional teams to deliver end‑to‑end data platforms and data marketplaces.
• Advise on data governance, risk controls, and information intelligence initiatives.
• Propose new technologies and drive thought leadership in data strategy.
• Develop and maintain client relationships and grow engagement opportunities.

Skills

Data architecture

Data engineering

Cloud data modernization

Big data

Data governance

Education

Bachelor's degree in Engineering/CS/Business/Economics/Finance/Statistics/Analytics

Master's degree in Engineering/CS/Business/Economics/Finance/Statistics/Analytics

Tools

Github

Kubernetes

Jenkins

Terraform

Snowflake

DataBricks

Kafka

Confluent

Redshift

Job description

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 build a better working world.

Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) – Financial Services Office (Manager)(Multiple Positions)(1726139), Ernst & Young U.S. LLP, Dallas, TX.

Responsibilities

Understand business challenges and address remediations through data architecture and engineering solutions. Work with clients to transform the way they use and manage data by architecting modern data platforms, data products, and data marketplaces providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies.

Define data and analytics strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions.

Manage and coach diverse teams of professionals with different backgrounds. Manage cross‑functional teams to ensure project task and timeline accountability.

Propose and drive new technologies to enhance or replace existing business processes. Initiate and build thought leadership through white papers, points of views, and proof of concepts.

Develop strategies to solve problems logically using creative methods. Engage and influence large teams and functional leaders. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge.

Maintain long‑term client relationships and networks. Cultivate business development opportunities.

Job Details

Full‑time employment, Monday – Friday, 40–45 hours per week, 8:30 am – 5:30 pm.

Requires domestic and regional travel up to 60% to meet client needs.

Employer will accept any suitable combination of education, training or experience.

Minimum Requirements

Must have a Bachelor’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post‑baccalaureate related work experience. Alternatively, must have a Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience.

Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry.

Must have 3 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event‑driven Architecture.

Must have 3 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.

Must have 3 years of experience with Next‑Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases.

Must have 3 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.

Must have 3 years of combined experience in at least 1 of the following:

• Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL)
• MPP (Redshift, Synapse, Teradata, Vertica or Netezza)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm)
• DevOps (Github, Kubernetes Jenkins or Terraform)
• Data Modeling (Data Vault, Star, Snowflake, or Canonical)

What We Offer

We offer a comprehensive compensation and benefits package. The base salary for this job is $201,385.00 per year. 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 our 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.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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, type Option 2 (HR‑related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at [e-mail]. This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. Please review this definition at the provided link.