Data Engineering, Management & Governance Senior Manager

Accenture

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$189,000–$189,000 / yr
Posted
44 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $189k
$149k most similar roles pay here $248k

This role pays less than 62% of similar roles. Most pay $165,000–$227,850 — the shaded band above. At the midpoint, this role pays about $189k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Data Engineering, Management & Governance Senior Manager

As a Data Engineering, Management & Governance Senior Manager at Accenture LLP in Seattle, you will lead the architectural design and oversight of data system components and enterprise applications, ensuring alignment with organizational goals. You will drive cross-functional project planning for complex IT initiatives, set technical standards, and mentor engineering teams to translate business requirements into actionable specifications. Day-to-day responsibilities include managing ETL projects, designing large-scale Data Lake solutions, and utilizing tools like GitHub, JIRA, Jenkins, and Apache Airflow for version control and CI/CD pipeline automation. You will also code using Scala, Python, PySpark, AWS services, PL/SQL, and Unix Shell Scripting to manage complex data workflows and develop applications with GitLab, AWS, and Splunk. This role requires expertise in cloud-native development principles, Agile methodology, and experience with Hive, SQL databases, Tableau for visualization, and AWS for scalable solutions.

What you'll do

  • - Architect scalable data solutions integrating DevOps, MLOps, and DataOps frameworks.
  • - Lead strategic design of data system components aligned with organizational goals.
  • - Drive cross-functional project planning for complex IT initiatives, defining technology stacks and schedules.
  • - Set technical standards and governance for application design to ensure code quality and compliance.
  • - Develop system specifications and establish AI initiatives using MLops and DataOps methodologies.

What we're looking for

  • - 7+ years of experience in IT consulting, including 5 years post-baccalaureate.
  • - Experience leading architectural and design decisions for ETL projects.
  • - Expertise in designing and managing large-scale data warehouses and lakes.
  • - Proficiency with GitHub, JIRA, Jenkins, Apache Airflow, and CI/CD pipelines.
  • - Strong coding skills using Scala, Python, PySpark, AWS services, PL/SQL.

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