Inactive
E

Ernst & Young

Global professional services: audit, tax, consulting

Data Engineer Manager - Service Delivery Center

Engineering LeadershipPosted on Oct 6
Full-time$76.2k - $197.9k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is required.
  • At least 6 years of relevant experience in data engineering, data architecture, and cloud data platforms is required.
  • Deep hands-on experience with Snowflake and enterprise data platform development is required.
  • Strong experience with ETL, streaming, and integration technologies such as Informatica, SnapLogic, and Kafka is required.
  • Expertise in data modeling, SQL, database design, and performance tuning is required.
  • Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud is required.
  • Experience with Python, containers, and Kubernetes is required.
  • Experience with Jenkins, Artifactory, uDeploy, and CI/CD pipelines is required.
  • Proven experience leading enterprise data architecture, establishing governance standards, and mentoring technical leaders is required.
  • Experience working in Agile environments and collaborating with senior business and technical stakeholders is required.
  • The role requires willingness and ability to travel up to 30% of the time.

Responsibilities

  • Own end-to-end enterprise data architecture and technology roadmaps across complex, enterprise-scale initiatives, and hold the teams accountable for delivering against them.
  • Establish data modeling, metadata, lineage, governance, quality, and observability standards, and ensure they are consistently adopted across engagements.
  • Lead cross-team decisions, modernization efforts, dependencies, and technical risk, escalating and resolving issues before they affect client delivery.
  • Influence senior client and internal stakeholders by communicating technical direction and trade-offs in business terms.
  • Mentor and develop technical leaders and engineers by providing coaching, feedback, and career guidance.
  • Define reusable standards and drive organizational capability improvement so each engagement leaves the practice stronger.
  • Apply and champion data quality, security, testing, and automation standards across teams, and translate requirements into well-governed, reliable data solutions.
  • Build resilient batch and streaming pipelines and design data models and cloud data applications.
  • Resolve production data issues and document lineage and controls.

Desired Qualifications

  • Experience with Snowflake and enterprise cloud data platforms.
  • Experience with ETL, streaming, Informatica, SnapLogic, and Kafka.
  • Experience with data modeling, SQL, database design, and performance tuning.
  • Experience with AWS, Azure, and Google Cloud.
  • Experience with Python, containers, and Kubernetes.
  • Experience with Jenkins, Artifactory, uDeploy, and CI/CD pipelines.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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