The Opportunity: We are seeking a highly skilled and experienced Segment CDP Architect/Consultant to help us unlock the full potential of existing Twilio Segment for our Australian client (Fashion Retailer). We've identified a need to optimize client's CDP to better align with their business outcomes and marketing objectives. This engagement is focused on a comprehensive assessment and strategic roadmap to enhance data integrity, usability, and overall platform value. What You'll Do: This engagement will involve a deep dive into our current Twilio Segment CDP implementation, with the primary objective of evaluating current configurations, data flows, and usage against common CDP best practices and Twilio Segment guidelines. Your services will include: Configuration Review: Thorough analysis of our existing Segment sources (e.g., website, mobile app, backend systems). Examination of configured destinations (e.g., marketing automation platforms, analytics tools, data warehouses). Review of implemented protocols and event schemas. Assessment of our Segment workspace settings, user permissions, and governance frameworks. Data Quality Assessment: Detailed examination of data collection points to ensure accuracy, completeness, and consistency. Analysis of event structures and properties, ensuring adherence to a well-defined tracking plan. Evaluation of our identity resolution processes and strategies to ensure a unified customer view. Integration Audit: Comprehensive review of key integrations with our marketing systems (e.g., email platforms, advertising platforms). Audit of integrations with analytics platforms (e.g., Google Analytics, custom dashboards). Assessment of data flow and integration with other critical business systems (e.g., e-commerce platform, CRM). Best Practices Alignment: Identification of areas where current configurations can be optimized for improved performance, scalability, and efficiency. Recommendations for enhancing data governance, privacy, and compliance within Segment. Proposing solutions to align our Segment implementation with industry-leading CDP best practices. Deliverables: A detailed report outlining findings, identified gaps, and a prioritized list of actionable recommendations. A clear implementation blueprint to align our existing Segment implementation with best practices, enhancing data integrity, usability, and overall platform value. What You'll Bring: Proven Expertise: 3+ years of hands-on experience as a Segment CDP Architect, Consultant, or similar role, with a strong focus on implementation, optimisation, and value realisation. Deep Segment Knowledge: Expert-level understanding of Twilio Segment's platform, including Sources, Destinations, Protocols, Tracking Plans, Audiences, Personas, Functions, and other key features. Data Acumen: Strong understanding of data modeling, event structures, identity resolution, and data quality principles. Technical Proficiency: Familiarity with various data collection methods (e.g., JavaScript SDK, mobile SDKs, server-side tracking). Experience with APIs and integrating Segment with diverse systems. Knowledge of SQL for data validation and analysis is a plus. Marketing & Analytics Integration Experience: Demonstrated experience integrating Segment with a wide range of marketing automation platforms, advertising platforms, and analytics tools (e.g. Google Ads, Facebook Ads, Google Analytics). Consulting Skills: Excellent analytical, problem-solving, and communication skills (both written and verbal). Ability to translate technical concepts into clear, actionable recommendations for business stakeholders. Project Management: Strong organizational skills with the ability to manage project timelines and deliverables effectively. Fashion Retail Experience (Preferred): Prior experience working with fashion retailers or e-commerce businesses is highly desirable, understanding the unique data challenges and opportunities in this sector. Certifications: Twilio Segment certifications are a significant plus. This is a remote, part-time contract role. You will work with a squad consisting of a Segment CDP Developer and a Marketing Data Analyst.

About the role: We are looking for a hands-on, passionate Data Engineer with 2–3 years of client project experience leveraging strong DBT skills, and a solid understanding of modern data engineering principles. In this role, you will work closely with our consultants and clients to deliver scalable, cloud-native data pipelines, data models, and platform capabilities. This is a unique opportunity to shape the future of our data infrastructure, learn the latest technologies on the fly, to build impactful solutions for customers accelerating their outcomes. If you're passionate about building scalable solutions, thrive in a fast-paced entrepreneurial environment, and are eager to stay ahead of the curve and grow "xonentially", we would love to hear from you. What You'll Do Build & Innovate : Develop, test, and deploy data transformation workflows using DBT (Cloud or Core) Craft innovative solutions to complex data challenges, transforming raw data into valuable, actionable insights, data products or reusable assets. Design and implement scalable ELT pipelines on cloud platforms (Azure preferred) Work on Databricks and SQL-based transformations , contributing to production-ready pipelines Collaborate with data scientists, consultants, and platform engineers to enable data products and AI solutions Support CI/CD processes for data pipelines and DBT models Participate in code reviews and contribute to engineering best practices Engage in client-facing work as required, supporting workshops, demos, and delivery Quickly master new tools and techniques Contribute to building reusable data assets and frameworks. Entrepreneurial Impact: Work in a fast-paced, collaborative environment, where your ideas and contributions directly impact business outcomes. Take ownership of projects and drive them to completion. Adhere to Australian data privacy laws. Required Skills & Experience 2–3 years of hands-on experience in data engineering roles using DBT in client projects Strong proficiency in DBT (ideally with experience in DBT Cloud) Solid understanding of SQL and data modeling Experience with cloud data platforms (preferably Azure Databricks) Familiarity with CI/CD practices in data engineering Good understanding of Git , version control, and modular coding practices Exposure to modern data stack tools (e.g. Databricks, Fivetran) Excellent communication and problem-solving skills It is an advantage to have Experience with Databricks (Unity Catalog, Databricks Asset Bundle, DLT) Exposure to Azure Data Factory Python programming for data processing tasks Experience in consulting , client delivery, or startup environments Prior experience in Retail, Transportation/Logistics domain Interest in Agentic AI and DataOps/MLOps tooling What We're Looking For: Graduate in Engineering with at least 2 years of relevant experience in DBT Solid foundation in Python and experience with data structures, APIs, and software design. Strong problem-solving ability and eagerness to learn in a fast-paced environment. Solid understanding of data engineering principles and practices. Demonstrated passion for learning and applying new technologies. Excellent problem-solving, analytical, and communication skills. Ability to thrive in a fast-paced, entrepreneurial environment. Why Join Us? Continuous Growth & Impact: We foster a culture of rapid learning and development, providing structured programs and actionable feedback to fuel your growth. Your voice matters from day one; we champion diverse ideas and practical solutions that drive tangible impact. Work on exciting and challenging projects that directly impact client success. Be part of a supportive and collaborative team that values innovation and continuous learning. Thrive and grow in a fast-paced, entrepreneurial environment.