{"id":63901,"url":"https://alion.io/job/dyson-associate-principal-data-architect","title":"Associate Principal Data Architect","company":{"id":160,"name":"Dyson","domain":"dyson.com","url":"https://alion.io/company/dyson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":91,"open_postings":61,"ghost_share":0,"stale_share":0.344,"repost_share":0.016,"time_to_fill_p50_days":30,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T23:27:13Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":58},"description":"Data Analytics& AIat Dyson\nData and analytics excellence at Dyson is delivered by a diverse and collaborative global community, at the heart of that community is a hub team that enables all others: In Dyson’s Data Analytics team, there has been significant investment into cloud technologies andAI; combined with an expansive scope and no shortage of ambition and momentum, Dyson’sDataAnalytics& AIteam is recognised throughout the organisation to the highest level as critical to all of Dyson's strategic objectives.\nWith a ‘one-team’ approach, the global community is on a mission to:\nEvolve existing solutions to stay ahead\n\nEmbed emerging solutions to capitalise on potential benefits\n\nDeliver conceptualised & future solutions to introduce net-new capability\n\nThe Team\nAs the ‘hub’ team delivering the data, technology and community provision enabling Dyson’s global data and analytics capabilities, Dyson’sData Analytics& AIteam have end-to-end responsibility for data from foundations (DQ, MDM) to management (data platforms, integrations), to value realisation (analytics enablement and delivery)and leveraging AI.\nDyson’sData Analytics& AIteam is a multi-disciplinary, global team providing round-the-clock development and operations - including product and project management, community enablement, governance, data architecture, data engineering, data science, and analytics expertise.\nInvolved with every aspect of Dyson’s global business - from finance to product development, manufacturing to owner experience - the team is seeking to deliver solutions generating impressive and tangible business value.\nAbout the role\nDefine, evolve and govern Dyson’s enterprise data architecture principles, standards, reference models and design patterns, ensuring they are practical, scalable and consistently applied across data platforms and solutions.\n\nLead the architecture of complex, multi-system data solutions across warehouses, lakes, real-time platforms and analytical environments, balancing business value, scalability, security, performance, cost and long-term maintainability.\n\nTranslate business objectives and stakeholder needs into conceptual, logical and physical architecture designs, ensuring solutions are actionable, sustainable and aligned to enterprise architecture direction.\n\nProvide hands-on architectural leadership throughout transformation programmes and delivery projects, guiding design decisions, resolving architectural trade-offs and ensuring adherence to agreed standards.\n\nEstablish and strengthen data governance, metadata, taxonomy, lineage, ownership and compliance practices so that Dyson’s data assets are reliable, discoverable, secure and responsibly managed.\n\nPartner with business, data, engineering, governance and enterprise architecture teams to align priorities, influence roadmaps and ensure data architecture supports Dyson’s strategic goals.\n\nReview and challenge solution designs to ensure they are robust, secure, scalable, cost-effective and future-ready, while supporting teams in managing risk and technical debt.\n\nDefine, monitor and improve architectural approaches for performance engineering and cost optimisation, including the design of efficient ETL/ELT workloads and data platform usage patterns.\n\nCreate, maintain and improve architecture artefacts including blueprints, data models, data flows, sequence diagrams, decision records and standards documentation.\n\nAct as a technical leader and change agent for the data architecture practice, promoting collaboration, continuous improvement, documentation quality and practical adoption of best practice.\n\nAbout you\nProven experience leading data architecture within complex digital transformation, enterprise data platform or multi-domain data programmes.\n\nStrong expertise in enterprise data architecture design, including data warehouses, data lakes, real-time data platforms, semantic layers, data models and cross-system data flows.\n\nAbility to design and articulate end-to-end data solutions that address complex business challenges while aligning with enterprise architecture principles and long-term platform strategy.\n\nDeep understanding of data governance, metadata management, taxonomy, lineage, ownership, stewardship, access controls, compliance and responsible data usage.\n\nExperience architecting scalable, secure and cost-effective cloud-based data solutions, ideally using GCP and modern data warehouse, orchestration, modelling and ingestion technologies.\n\nConfident reviewing technical designs, challenging assumptions and making pragmatic recommendations that balance stakeholder needs, technical constraints, risk and business value.\n\nStrong stakeholder engagement skills, with the ability to translate business objectives into architecture decisions and communicate complex concepts clearly to technical and non-technical audiences.\n\nExperience influencing architecture roadmaps, aligning cross-functional teams and working effectively with data engineering, data governance, product, analytics and enterprise architecture communities.\n\nA continuous improvement mindset, with a track record of improving standards, documentation, engineering practices, architecture governance and knowledge sharing.\n\nClear ownership, resilience and learning agility, with the ability to operate effectively through ambiguity, lead change and support others in adopting new technologies, frameworks and ways of working.\n\nExperience mentoring architects, engineers or analysts and raising architecture capability across teams through constructive feedback, coaching and practical guidance.\n\nOur Tech Stack\nOur modern data stack constantly evolves over time as it strives for best-in-class technical capabilities, scalability and efficiency. We don’t require applicants to have experience with all these technologies, but are always keen to learn and maximise best use of each and as a whole\nBitbucketfor source control management\n\nTerragruntfor infrastructure as code\n\nGCP for infrastructure\n\nBigQueryfor data warehousing\n\nAirflow for orchestration\n\ndbt(SQL) for data modelling\n\nGrafanafor monitoring\n\nFivetranfor ingestion\n\nYou Should Apply If\nYou feel strongly about data and want to empower the organisation with it\n\nYou seek technical excellence and is self-driven and motivated\n\nYou want to build robust, scalable and reliable software and solutions\n\nYou proactively identify challenges and opportunities, and seek to improve the team as a whole\n\nDyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. 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