Enterprise Data Transformation Lead

13 hours ago

Sydney, New South Wales, Australia Experis Full time
About This Opportunity

We are seeking a seasoned Enterprise Data Transformation Lead to join our team at Experis. In this role, you will have the opportunity to work on high-profile projects, collaborating with cross-functional teams to deliver business outcomes.

With over 10 years of experience in technical business analysis or equivalent roles, you will bring expertise in enterprise/big data projects, blending technical and business knowledge. Your ability to design data mappings, including data transformations, business rules, and reporting requirements, will be invaluable to our clients.

Key Responsibilities
  • Collaborate with stakeholders, process owners, and users to understand service/product requirements and translate them into actionable epics, features, and stories for the delivery team.
  • Engage with solution architects and designers to define Non-Functional Requirements (NFRs), ensuring solutions meet quality and standard expectations.
  • Liaise between business stakeholders, project managers, solution architects, developers, and testers to ensure alignment and effective communication.
  • Understand divisional and group objectives and align product strategies with business and technology goals.
  • Assess and communicate trade-offs between quality, benefits, risk, budget, timelines, and user experience to project stakeholders.
Professional Expertise
  • Expertise in designing data mappings, including data transformations, business rules, and reporting requirements.
  • Familiarity with traditional database and data modeling concepts like referential integrity and entity-relationship modeling.
  • Strong ability to gather and synthesize large volumes of information, manage requirement changes, and clarify expectations with the business.
  • Experience developing complex ETL/ELT data pipelines and proficiency in conducting workshops with business and technical SMEs for requirement analysis.
  • Advanced skills in SQL for data querying and analysis.
  • Understanding of data engineering and data modeling methodologies.
  • Solid knowledge of Big Data application architecture and Agile methodologies.
  • Exceptional communication and stakeholder management abilities.
  • Flexibility, adaptability, and proactivity in client engagements.
  • Project management skills, such as budgeting, performance management, risk management, and change control, are a plus.
Qualifications
  • Degree in Computer Science, Information Technology, or a related Engineering field.
  • Industry-recognized technology certifications are highly desirable.
Estimated Salary Range: $120,000 - $150,000 per annum, depending on location and experience.

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