Role Description Cedar is at a pivotal moment in its technical evolution. We are evolving towards a brand-new, enterprise data platform and model, architected specifically to power the future of Cedar’s product offerings. As the Principal Data Architect, you will be the senior technical authority leading this transition, ensuring our new data foundation is clean, scalable, and cleanly separated from legacy debt. This is a hands-on technical leadership role for an engineer who loves building production systems at scale and views AI as a massive accelerator for both personal and team productivity. What You’ll Do - Architect the Future-State Data Model & Storage: Lead the design and execution of a new, high-scale data model and storage architecture that lives outside our legacy monolith. - Ensure Metrics Reliability: Own the accuracy and reliability of Cedar’s core business metrics including collection rate, days in AR, and invoice balance tracking. - Power Intelligent Agents: Build the real-time data foundations that power Cedar’s AI-driven products. - Design for the Future: Design data models for new product lines that expand Cedar’s presence across the full revenue cycle. - Build Production Code: Write, ship, and maintain high-quality production code alongside our team of Data Engineers. - Guide and Mentor Engineers: Act as the technical role model for a team of Data Engineers. - Collaborate: Drive technical alignment across data engineering, platform, and product teams. - Steward Data Integrity: Define and enforce standards for Cedar's enterprise Data Dictionary and metadata strategy. Qualifications - 10+ years of experience in data engineering and backend systems at scale. - Experience leading large technical projects with a high accountability mentality. - Deep, hands-on proficiency with a wide range of data and engineering technologies and patterns. - Experience building "source of truth" systems and a passion for data accuracy. - Experience building data APIs, context systems, or feature stores that power downstream ML/AI applications. - Ability to spot over-engineering and under-engineering with equal confidence. - Clear communication skills to translate complex technical risks and trade-offs into business-relevant terms. - Avid learner and adopter of AI engineering tools. - Demonstrable understanding of healthcare concepts, including revenue cycle management (RCM), billing, and insurance adjudication (highly preferred). Requirements - Experience with technologies such as Snowflake, dbt, Liquibase, Fivetran, Airflow, OpenMetadata, Kafka, SQL, Python, and real-time data processing. - Experience with building production-grade ELT/ETL pipelines and managing complex data transformations in cloud-first environments. - Experience with data validation and reconciliation, comparing pipeline output against source systems. Benefits - Salary/Hourly Rate Range: $246,500 - $311,750. - This role is equity eligible. - This role offers a competitive benefits and wellness package. - Unlimited PTO for vacation, sick, and mental health days. - 16 weeks paid parental leave with health benefits for all parents. - Diversity initiatives that encourage Cedarians to bring their whole selves to work. - Competitive pay, equity (for qualifying roles), and health benefits. - Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation. - Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources.

• Establish and uphold the goals and expectations that support the fulfillment of cultural and business objectives. • Operate with a team-first mindset, committed to ensuring the overall success of the team and organization. • In collaboration with the Part D business team and BI engineers, lead data engineering solutions (design, data movement, orchestration, optimization) for prioritized business requests impacting organizational and enterprise initiatives. • In Databricks: design, build, maintain, and support the data analytics platform, ensuring the platform is optimized for performance and the right tools are being used for the right jobs. • Work collaboratively with teammates to optimally apply data warehouse, cloud, and BI architecture, normalization, and data visualization techniques to deliver solutions. • Create and impact data scale solutions at the QCSA/Enterprise level to meet business needs.

Title: Waste Data Optimisation Officer Location: Australia Job Description: - Enhance waste data accuracy through audits and system improvements! - Contract until 29 October 2027 - $87,550 + 12% Superannuation About the role Take on a role that drives real impact by strengthening how we understand and manage waste services. This opportunity blends hands-on fieldwork with analytical insight, conducting site audits, validating data, and improving the accuracy of critical systems like COMPASS and WasteEdge. You'll play a key role in shaping a single, trusted source of waste data, ensuring records are accurate, aligned, and reliable. Through your attention to detail and problem-solving mindset, you'll help deliver smarter decisions, better services, and stronger outcomes for the community. Why join Team Melbourne? Located on the traditional lands of the Bunurong Boon Wurrung and Wurundjeri Woi-wurrung peoples of the Kulin Nation, Melbourne is globally recognised as one of the most liveable, diverse, and dynamic cities. At the heart of it all is the City of Melbourne - a passionate, purpose-driven organisation where your work truly matters. As part of Team Melbourne, you'll help deliver what's most important to the people who live, work, study, visit and invest in our great city. We're proud champions of diversity, committed to continuous improvement, and driven by a shared vision for a vibrant and sustainable future. This is more than just a role - it's your chance to make a real impact, contribute to something bigger, and shape Melbourne's future alongside a collaborative and forward-thinking team. About you You're a detail-focused and proactive professional who enjoys combining hands-on work with data analysis. With a keen eye for accuracy, you're confident identifying inconsistencies, problem-solving, and maintaining reliable records across systems. You take ownership of your work, stay organised, and bring a practical mindset to improving data quality and supporting better service outcomes. What your experience might look like - Strong ability to analyse data, identify issues, and resolve root causes, with proficiency in spreadsheets, databases or GIS; experience with WasteEdge or similar systems. - Proven experience conducting field-based inspections or audits, including the ability to assess, document and report on physical site conditions accurately and independently. - A high level of initiative and independence, with the ability to prioritise and manage competing workloads across field and desktop activities with limited supervision. - Demonstrated knowledge of waste management principles and practices necessary to support accurate service delivery and data integrity within a municipal context. - A current Victorian Driver Licence. Benefits of working with us - Attractive remuneration & benefits: Excellent pay package with a range of exciting benefits. Flexible working, study assistance & other great corporate discounts. - Excellent leave entitlements: Enjoy up to 20 weeks of fully paid parental leave for primary carers, in addition to the government-funded parental leave, with no waiting period to access. Part-time equivalents are also available for added flexibility. - Career progression: Career development support and opportunities to learn new skills within a creative and exciting environment. - Work-life balance and hybrid working: We support flexible hours, alternative work arrangements (like ADOs), and hybrid work-from-home options. How to apply We'd love to hear how you can make an impact in this role! As part of your application, you will be required to: - Attach your updated resume - Include a cover letter (max one page) outlining your relevant experience and why you're a great fit for this role. Submit your application no later than 11:45pm on Tuesday 02 June 2026. A few important things to note - don't miss out! - Applications must be submitted online. Unfortunately, we can't accept applications via email, so please be sure to apply through the official job link provided. - Apply early! This role may close sooner than the listed closing date if we find the right candidate - so don't wait to get your application in. - We are a child safe organisation. The City of Melbourne has a zero tolerance for child abuse. All employees undergo thorough safety screening, including a Police Check and, for most roles, a Working with Children Check. Need more info? Refer to the position description below or contact Ian Stupin - Project Lead Waste Data Optimisation, Ian.Stupin@melbourne.vic.gov.au Inclusion matters We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people from all cultural and linguistic backgrounds, people with disabilities, LGBTIQA+ individuals, and people of all ages and faith backgrounds. We provide reasonable adjustments throughout the recruitment process to support all applicants. If you require any adjustments, please let us know via the application prompts or inform our Careers team if you're contacted for an interview. Advertisement: PD - Waste Data Optimisation Officer.docx

• Define and execute the enterprise cloud data platform strategy, aligning platform investments with business priorities, data/AI objectives, and long-term technology roadmaps. • Lead the engineering and operations of the full data platform ecosystem — including cloud data warehouses/Lakehouses, data integration, transformation, orchestration, observability, and data quality services. • Establish and enforce technology standards, reference architectures, and engineering guardrails that ensure platform consistency, scalability, security, and interoperability across the data ecosystem. • Partner with business, product, and technology leaders to translate data needs into prioritized platform capabilities and investment cases with clear ROI.