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Data Engineering, Management & Governance Senior Manager/Manager/Associate...Add expected salary to your profile for insights.We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our peoples physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. Were proud to be consistently recognized as one of the Worlds Best Workplaces.Join Accenture to work at the heart of change. Visit us at www.accenture.comRole:Data Engineering, Management & Governance Senior Manager / Manager / Associate Manager / SpecialistRole Purpose:Design, build, and maintain scalable data pipelines and infrastructure to collect, process, and store data. Ensure data is accurate and usable for reporting and data science. Leverage cloud engineering, data integration, and big data engineering to enhance data systems. Identify and implement solutions to establish all data management capabilities and identify opportunities for leveraging data to drive business growth and innovation. Implement and manage data platforms across on-premises and cloud environments to ensure efficient data infrastructure, security, compliance, and observability. Establish and maintain data governance frameworks to ensure data quality, security, and compliance across the organisation. Develop standards for data management, accessibility, and usage to support informed decision-making.Role Responsibilities: Data Engineering- Build scalable data pipelines and infrastructure to collect, process, and store data, leveraging big data engineering with strong cloud knowledge.- Develop scalable data workflows using ETL tools, SQL, Python, and big data technologies. Ensure data is accurate and usable for reporting and data science. Data & AI Platform Engineering- Design, implement, and manage complex data pipelines and infrastructure within data platforms, focusing on performance, stability, and data quality.- Optimise and maintain data pipelines to improve platform efficiency, ensuring compliance with security and observability standards. Data Governance- Lead the design and implementation of data governance frameworks to ensure data accuracy, privacy, and compliance with regulatory requirements.- Develop policies and best practices for data access, classification, and stewardship, working closely with data, IT, and compliance teams.Key Capabilities:Data Management (Data Archiving, Data Lifecycle Management)Programming Languages (Python, Pyspark, Scala, SQL)Data Pipelines and Infrastructure tools (Airflow, Spark, ADF)Data Governance Framework / Concepts (Compliance Standards, Data Privacy Regulations)Equal Employment Opportunity Statement for Australia:At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation. If you require adjustments to the recruitment process or have a preferred communication method, please email emailprotected and cite the relevant Job Number, or contact us on +61 2 9005 5000.Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement. #J-18808-Ljbffr