About The Position

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

Requirements

  • 7 years of experience in leading architectural and design decisions and managing ETL projects and providing complex ETL and backend solutions
  • 7 years of experience in designing, developing and managing large-scale Data warehouse, Data Lake solutions and Data infrastructure across multiple systems following SDLC best practices
  • 7 years of experience 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
  • 7 years of experience coding and deploying applications using DevOps by utilizing GitLab, AWS, and Splunk
  • 7 years of experience 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
  • 7 years of experience working with Hive, SQL databases including MySQL, Presto, Amazon DynamoDB, RedShift and visualization using Tableau
  • 7 years of experience driving delivery orchestration and design decisions suggesting improvements, and managing onshore and offshore teams supporting critical applications
  • 5 years of experience applying cloud-native development principles and Agile methodology to build scalable, resilient applications while optimizing data ingestion and transformation in the cloud including AWS
  • 5 years of experience creating prototype solutions, producing, and maintaining data and infrastructure for Machine learning, experimentation, and AI applications
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Nice To Haves

  • Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Responsibilities

  • 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.

Benefits

  • medical
  • dental
  • vision
  • life
  • long-term disability coverage
  • 401(k) plan
  • bonus opportunities
  • paid holidays
  • paid time off
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