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Data Engineering, Management & Governance Senior Manager

Accenture
Seattle, WA
On-siteUSD 189,000 / year

About this role

About the Role Data Engineering, Management & Governance Senior Manager (Accenture LLP; Seattle, WA) leads architectural design and governance for complex data systems and enterprise applications, aligning with long-term technology roadmaps. The role drives cross-functional planning, sets technical standards, and mentors teams to deliver scalable data solutions across DevOps, MLOps, and DataOps practices. What You'll Do

  • Architect scalable solutions for new rollouts, enhancements, and lifecycle maintenance, integrating best practices across DevOps, MLOps, and DataOps frameworks.
  • Lead strategic design and oversight of data system components and enterprise applications, ensuring alignment with organizational goals and long-term technology roadmaps.
  • Drive cross-functional project planning for complex IT initiatives, defining objectives, technology stacks, systems architecture, schedules, budgets, and staffing strategies in collaboration with senior leadership.
  • Oversee application performance and service delivery, ensuring adherence to SLAs and proactively managing scope, budget, and timelines across multiple concurrent projects.
  • Set technical standards and governance for application design and development, ensuring code quality, security, and compliance across engineering teams.
  • Develop system specifications and establish AI initiatives, MLOps and DataOps for complex systems.
  • Identify and solve complex problems that require in-depth evaluation of variable factors for team implementation.
  • Mentor and lead engineering teams, translating business and system requirements into actionable design specifications and fostering talent development.
  • Manage program-level execution, including issue resolution, stakeholder reporting, and budget forecasting, while making strategic decisions in consultation with executive leadership.
  • Shape strategic direction, prototype innovative solutions, and ensure alignment with client and senior management expectations.
  • Represent the organization in senior-level engagements, building trust with clients and internal executives through effective communication and relationship management. What We're Looking For
  • Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 7 years of experience (5 years progressive post-baccalaureate) in the IT consulting industry.
  • Must have 7 years of experience in each of the following: Leading architectural and design decisions and managing ETL projects and providing complex ETL and backend solutions; Designing, developing and managing large-scale Data warehouse, Data Lake solutions and Data infrastructure across multiple systems following SDLC best practices; Utilizing GitHub for version control, JIRA for task tracking, Jenkins for CI/CD pipeline automation, and Apache Airflow for scheduling and monitoring batch job executions across distributed environments; Coding and deploying applications using DevOps by utilizing GitLab, AWS, and Splunk; Developing and maintaining applications, and extract, transform, and load (ETL) leveraging Scala, Python, PySpark, AWS services, PL/SQL and Unix Shell Scripting to manage complex data workflows, automate processes, and enable reliable communication between enterprise systems and applications; Working with Hive, SQL databases including MySQL, Presto, Amazon DynamoDB, RedShift and visualization using Tableau; and Driving delivery orchestration and design decisions suggesting improvements, and managing onshore and offshore teams supporting critical applications.
  • Must have 5 years of experience in each of the following: Applying cloud-native development principles and Agile methodology to build scalable, resilient applications while optimizing data ingestion and transformation in the cloud including AWS; and Creating prototype solutions, producing, and maintaining data and infrastructure for Machine learning, experimentation, and AI applications.
  • Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs. Compensation & Benefits
  • Salary: $189,000.00 per year
  • Benefits information available through official channels.

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