Auxo AI - Data Architect

About the Role :We are looking for a seasoned Data Architect to lead the data architecture track for a large-scale analytics transformation programme. This is a hands-on leadership role you will be expected to design and build while simultaneously guiding a team, aligning with stakeholders, and driving delivery against a complex multi-domain roadmap.You will work at the intersection of data engineering, programme governance, and business intelligence. The ideal candidate has strong architectural instincts, deep hands-on technical ability, and the communication skills to operate confidently with both engineering teams and senior business stakeholders.What You Will Do :- Architecture & Design :1. Own the end-to-end data architecture across multiple layers of a medallion architecture on AWS2. Design atomic star schema models fact and dimension tables across multiple business domains3. Define aggregation and KPI layers aligned to business reporting requirements and industry frameworks4. Establish data modelling standards, naming conventions, and design patterns for the team to follow5. Ensure architecture decisions align with the broader enterprise data strategy and roadmap- Hands-on Delivery :1. Write and review SQL, Python, and Spark code for data pipelines and transformations2. Perform data reconciliation and quality validation across layers3. Build and review data models in Snowflake or Databricks4. Work within the AWS ecosystem (Athena, Glue, S3) to deliver scalable, production-grade pipelines- Leadership & Stakeholder Management :1. Lead and unblock a team of data engineers and analysts on day-to-day delivery2. Proactively identify blockers, dependencies, and risks raise them early with proposed solutions, not just flags3. Coordinate across business domains to gather requirements and validate data outputs4. Translate business requirements into technical designs and communicate technical decisions back to non-technical stakeholders clearly5. Align delivery milestones with the programme roadmap and surface deviations proactively6. Maintain architecture documentation in Confluence and manage delivery tasks in JiraWhat You Bring :- Domain Knowledge :1. Ability to quickly understand a new business domain, ask the right questions, and translate operational processes into data models2. Prior exposure to any transaction-heavy business domain is valuable examples include Source-to-Pay, Supply Chain, Finance, HR, or Customer Data3. Experience working with ERP or enterprise application data (Oracle, SAP, Salesforce, or similar) as a source is an advantage4. Familiarity with industry benchmarking or process frameworks (such as APQC or SCOR) is a plus but not required- Technical Skills (Essential) :1. Advanced SQL complex joins, window functions, performance tuning2. Python data transformation, automation, pipeline scripting3. Apache Spark large-scale distributed data processing4. AWS Athena, Glue, S3; experience designing cloud-native data platforms5. Snowflake or Databricks data modelling, query optimisation, pipeline orchestration6. Data modelling star schema, dimensional modelling, normalisation, slowly changing dimensions7. Data reconciliation validating data integrity across source and target layers8. Full SDLC requirements, design, build, test, release, operate- Tools :1. Jira managing delivery, tracking progress, raising and escalating blockers2. Confluence authoring and maintaining architecture and design documentationGood to Have :1. Snowflake or Databricks certification2. Exposure to BI tools (Power BI, Tableau) from an architecture or data modelling perspectiveThe Kind of Person We Are Looking For :1. You see blockers coming before they arrive and raise them with a solution, not just a flag2. You can hold a room whether that is a sprint planning with engineers or a roadmap review with a VP3. You write documentation that people actually read4. You are as comfortable doing the work yourself as reviewing someone else's5. You care about data quality as much as data delivery6. You ask "why does the business need this?" before deciding how to build it (ref:hirist.tech)