Accenture

Data Engineering/Architecture Manager (Public Services)

Accenture
BusinessSingaporeFull-time2 months ago

About the role

AI summarised

This role is for a Data Engineer/Architecture Manager in the public services sector, responsible for designing and implementing enterprise-level data solutions, including data architecture, data models, and data pipelines. The manager will collaborate with stakeholders, enforce data governance, and ensure data quality and security.

BusinessFull-timeOther Functions

Key Responsibilities

  • Design and develop enterprise-level data architecture, including data models, databases, and data warehouses.
  • Define and enforce data standards, policies, and governance frameworks.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Architect and implement data integration, ETL processes, and data pipelines.
  • Ensure data quality, security, and scalability across the organization.
  • Evaluate and recommend data management tools, technologies, and platforms.
  • Work closely with data engineers, analysts, and scientists to support data-driven initiatives.
  • Optimize database performance and troubleshoot data-related issues.
  • Stay updated with emerging trends and advancements in data architecture and technologies.

Requirements

  • Prior experience in Public Services will be ideal (optional)
  • Ability to operate at both strategic and tactical levels, stepping in to solve problems directly when needed.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Architect or in a similar role.
  • Strong expertise in data modeling, database design (relational and non-relational), and data warehousing.
  • Proficiency in SQL, ETL tools, and data integration technologies.
  • Knowledge of cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with data governance, security, and compliance standards.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.