Principal Data Architect

**Principal Data Architect**SNSW Grade**11/12**Location - Haymarket, Gosford, Parramatta**1** x Ongoing Full-Time**

**About our team**

Service NSW Digital is like nothing else in government. We are a diverse and vibrant team of talented Engineers, Designers and Product Managers, working together to develop impactful digital experiences that improve the lives of our 8+ million customers.

**What we offer**- Working on products & services that are meaningful and make a difference to the people of NSW.- Key senior role within the business in a dynamic and collaborative delivery environment.- Contribute to innovative and exciting digital projects.

**About the role**

You will be responsible for leading enterprise-wide strategic data architecture decisions that will directly enable high-profile customer and organisational outcomes.

You will collaborate across functions to drive the delivery of consolidated public and private data platforms across the organisation, including technical and platform design, and the development of governing principles to produce data architecture and solutions that enable great customer outcomes while meeting organisational and compliance needs.

**Key responsibilities include**- Strategic Planning_: Provide high-level strategic advice for future investment in private and public data platforms, tools and processes across the entire data ecosystem to support business objectives.- Data Architecture Design:_ Develop reference data architecture, platforms, integration patterns, and governance frameworks in conjunction with stakeholders to ensure scalability, performance, sustainability and data security across the entire technology and product stack.
- Cloud Data Platforms:_ Focus on building and managing cloud-based data solutions, with a strong preference for AWS technologies and data warehousing solutions like Snowflake or GCP or Redshift, ensuring platform integration and optimisation.- Data Governance & Compliance:_ Ensure that data architecture supports governance policies and compliance standards, including HIPAA, APPs, and the Privacy Act.- Stakeholder Engagement:_ Work closely with cross-functional digital teams, engineers, platform teams and other key stakeholders to understand needs and opportunities and translate them into scalable, effective data architecture solutions.- AI/ML Enablement:_ Ensure that the division’s data architecture is designed to support AI, machine learning, and advanced analytics use cases, enabling future growth and innovation.- Best Practices_ and Mentorship_: Promote and implement best practices for data management, governance, and security, ensuring the data architecture remains robust and adaptable to future needs. Provide data analytics and technical leadership and mentoring to develop data capability within the organization- Project Involvement: _Collaborate with product and platform teams to deliver high-quality data solutions that enable a world-class customer experience.

**Your skills and experience**- At least 5 years of experience in data architecture, with expertise in cloud-based data solutions, particularly AWS (Amazon Web Services).- Data Governance:_ Solid understanding and experience with data governance practices, ensuring compliance with privacy regulations and industry standards.- Communication Skills:_ Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.- Collaboration:_ Ability to collaborate with cross-functional teams and business stakeholders to ensure that data architecture solutions align with business objectives and use cases.- Innovation: _A drive to continuously innovate, including by undertaking research and horizon scanning to identify future trends and technologies and their financial viability to support informed executive decision-making.- Experience in Public Sector:_ Experience working in public sector or government data initiatives is highly desirable.

**Your technical skills**- Cloud _and Technology_ Expertise:_- In-depth experience in data solutions. AWS is preferred (e.g., AWS Redshift, AWS Glue, S3, EC2, Lambda) but other cloud equivalents are also acceptable. In-depth experience in Cloud-based data warehousing solutions like Snowflake, BigQuery or Redshift, including integration and optimisation. Familiarity with the entire data ecosystem including databases, ETL tools, analytics platforms, and data visualisation technologies.- Enterprise Architecture: _Experience with enterprise architecture frameworks and their interrelation with data architecture.- Lakehouse Architecture Experience:_ Familiarity with lakehouse architecture and modern data platform technologies.- AI/ML Architecture:_ Knowledge of how to design data platforms that support AI/ML workloads and analytics at scale.- Preferable:_- Certifications:_ AWS Certified Solutions Architect professional, Snowflake Certified, or other relevant cloud and data architecture certifications.- Computer sc