Data Architect Lead

AU Sydney Bella Vista, Australia

ResMed

ResMedin langattomat ratkaisut parantavat miljoonien uniapneaa ja muita hengitystiesairauksia sairastavien elämää – katso, mitä he voivat tehdä hyväksesi.

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Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

Be Part of a Game-Changing Global Business and Technology Transformation!

Are you ready to make a significant impact on a global scale? Join ResMed’s Ignite Program, a groundbreaking business and technology transformation initiative that will redefine the future of our global operations. This mission-critical, multi-year transformation will modernize and unify our Enterprise Resource Planning (ERP) landscape, driving efficiency, innovation, and best-practice digital solutions.

As part of the Ignite Program, you will play a pivotal role in shaping how we operate worldwide, enhancing decision-making, data accuracy, and customer experience. This is your chance to be at the forefront of a transformative journey that will shape the future of ResMed.
As a Data Architect Lead, you will be responsible for developing and maintaining the overall data architecture strategy, ensuring alignment with business objectives and technology standards. You will design and implement robust data models, databases, and data integration processes to support enterprise-wide analytics and reporting needs. Collaborating with business stakeholders, data analysts, and IT teams, you will identify data requirements and translate them into technical solutions. Your role will also involve ensuring data quality, integrity, and security by implementing best practices for data governance and data management processes.

Responsibilities:

  • Develop and maintain the overall data architecture strategy, ensuring alignment with business objectives and technology standards. 
  • Design and implement robust data models, databases, and data integration processes to support enterprise-wide analytics and reporting needs. 
  • Collaborate with business stakeholders, data analysts, and IT teams to identify data requirements and translate them into technical solutions. 
  • Ensure data quality, integrity, and security by implementing best practices for data governance and data management processes. 
  • Lead the data architecture team, providing guidance, mentoring, and professional development opportunities to ensure high performance and productivity. 
  • Stay up to date with industry trends and advancements in data architecture, incorporating new technologies and methodologies to enhance the organization's data capabilities. 
  • Develop and maintain documentation for data architecture, including data models, data flow diagrams, and data dictionaries. 
  • Establish and enforce data standards, policies, and procedures to ensure consistency and compliance across the organization. 
  • Drive continuous improvement initiatives by identifying opportunities to optimize data processes, reduce redundancy, and increase efficiency. 
  • Partner with IT and business leaders to develop and implement data strategy and roadmap, ensuring alignment with the organization's strategic goals. 
  • Manage data architecture projects, including planning, resource allocation, and risk management, to ensure timely delivery of high-quality solutions. 
  • Provide technical leadership and expertise in data architecture, guiding the organization through complex data challenges and initiatives. 
  • Ensure the scalability and performance of the data architecture, supporting the organization's growth and evolving data needs. 
  • Collaborate with data governance teams to establish data stewardship practices and ensure compliance with regulatory requirements. 
  • Foster a culture of data-driven decision-making by promoting the use of data and analytics across the organization and providing training and support to stakeholders. 
  • Develop and maintain relationships with external vendors and partners to leverage their expertise and solutions in data architecture. 
  • Monitor and evaluate emerging data technologies and trends, making recommendations for their adoption to enhance the organization's data capabilities. 

Qualifications/Key Skills

  • A bachelor's or master's degree in computer science, information technology, data science, or a related field. 
  • Proficiency in data modeling tools and techniques. 
  • Strong knowledge of database management systems (DBMS) such as SQL, NoSQL, and cloud-based databases. 
  • Experience with data integration tools and ETL processes. 
  • Familiarity with data governance and data management best practices. 
  • Strong analytical and problem-solving skills. 
  • Ability to translate business requirements into technical solutions. 
  • Up-to-date with industry trends and advancements in data architecture. 
  • Knowledge of regulatory requirements and data compliance standards. 
  • Strong organizational and project management skills. 

#LI-APAC

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Computer Science CX Data governance Data management Data quality Data strategy ETL NoSQL Security SQL

Perks/benefits: Career development

Region: Asia/Pacific
Country: Australia

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