{"id":1141043,"url":"https://alion.io/job/aviva-canada-data-engineering-tech-lead-mdm","title":"Data Engineering Tech Lead (MDM)","company":{"id":1074183,"name":"Aviva Canada","domain":"aviva.ca","url":"https://alion.io/company/aviva-ca","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":138000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Master Data Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spring Boot","optional":false},{"name":"Erwin","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-22T02:10:44Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Hi, we're glad you're here! We are hiring to our Aviva Services Excellence Centre! Take a look at our job description - maybe it suits you or one of your friends? \nAs a Data Engineering Technical Lead you will play a critical leadership role in shaping Aviva’s enterprise data foundations, ensuring master and reference data is trusted, governed, scalable, and reusable across the organisation\nThis role is responsible for leading the engineering and delivery of a cloud-native Master & Reference Data platform (MDM/RDM), enabling consistent, high-quality data across core business domains such as Customer, Product, Supplier and other master entities across Aviva.\nYou will lead a cross-functional engineering team to build scalable, event-driven data pipelines, mastering workflows, and API-driven data services using Kafka (MSK), AWS services, and containerised microservices (Spring Boot / Python). This is a hands-on leadership role focused on delivering high-quality engineering outcomes while embedding strong governance, data quality, and standardisation practices.\nWhat will you be doing?\nYou will be responsible for:\nTechnical Leadership & Team Guidance\nLead and mentor a team of data and backend engineers aligned to MDM/RDM delivery\n\nTranslate enterprise data architecture and domain models into implementable designs\n\nDrive engineering best practices including coding standards, CI/CD, and quality assurance\n\nAct as the primary technical escalation point for MDM platform delivery\n\nMDM/RDM Platform Engineering & Delivery\nGuide the development of:\nMastering and matching workflows (e.g., survivorship, deduplication, golden record creation)\n\nKafka / MSK-based event-driven data pipelines for master data ingestion and distribution\n\nAWS Glue ETL jobs (Python/PySpark) for data standardisation and enrichment\n\nContainerised microservices for master data services (ECS, Spring Boot / Python)\n\nEnsure delivery of scalable, resilient, and high-performing master data systems\n\nDrive observability, data quality monitoring, and lineage tracking\n\nMaster & Reference Data Implementation\nImplement end-to-end master data lifecycle flows (ingest → standardise → match → publish)\n\nApply event-driven and API-based integration patterns for data synchronisation\n\nEnsure alignment to enterprise canonical data models and ACORD/industry standards where applicable\n\nEnforce config-driven / metadata-driven processing (e.g., YAML-based mappings and rules)\n\nPromote reusable ingestion, matching, and publishing patterns across domains\n\nContribute to establishing the “golden path” for domain onboarding into MDM\n\nWork closely with governance tools (e.g., Collibra) to ensure metadata, lineage, and quality visibility\n\nData Governance, Quality & Standards\nEmbed data quality rules, validation frameworks, and exception handling into pipelines\n\nDefine and enforce data stewardship workflows and ownership models\n\nSupport implementation of reference data management (hierarchies, code sets, taxonomies)\n\nEnsure auditability, traceability, and compliance across master data processes\n\nWhat we’re looking for?\nWe are searching for an experienced lead or a senior engineer ready to step into a leadership role, with:\n5+ years of relevant professional experience\n\nHands-on experience with Reltio (preferred), Informatica MDM, Profisee, SAP MDM, or similar MDM platforms\n\nExperience with Kafka or other event-driven architectures\n\nAWS experience preferred (S3, ECS, Glue, Aurora/Postgres), though strong MDM candidates with experience on other cloud platforms will also be considered\n\nAbility to write and review code in Java, Python, or another modern programming language\n\nStrong understanding of:\nMaster Data Management concepts (golden record, survivorship, hierarchy management)\n\nData modelling (canonical models, 3NF, domain-driven design)\n\nData quality, data governance, and stewardship models\n\nIntegration patterns (API, event streaming, CDC)\n\nExperience building scalable, domain-oriented data platforms\n\nAbility to define reusable frameworks and “factory model” onboarding patterns\n\nStrong problem-solving, communication, and stakeholder management skills\n\nExperience working in large-scale transformation programmes\n\nNice to Have:\nExperience with insurance data domains (Customer, Policy, Risk, Product, Supplier)\n\nKnowledge of ACORD data standards\n\nExperience with metadata/catalogue tools (e.g., Collibra) and data modelling tools (e.g., Erwin)\n\nFamiliarity with config-driven architectures and schema-driven processing (Avro/Schema Registry)\n\nIn Aviva Services Excellence Centre, we provide:\nContract of employment\n\nPerformance Bonus\n\nPrivate medical care (ENEL-MED)\n\nCafeteria system of benefits (e.g.MultiSport card)\n\nAdditional parent privileges: - baby leave -6 weeksleave for second parent - shortened working time after parental leave\n\nEmployer-funded group insurance\n\nEmployee Shares Plan\n\nExtra day off for birthday\n\nPaid time off to volunteer\n\nAdditionalleaveacquired over the years in the company (even 5 days more in a year)\n\nWellbeing Leave -additional two weeks paid leave after 10 years of service\n\nPsychological support consultations\n\nAccess to the e-learning platforms\n\nInternal employee referral program\n\nHybrid working model from Poland with a few days in Warsaw office per month\n\nAttractive office location in Warsaw -Gdański Business Center\n\nAdditional entitlements for people with disabilities - Work Without Barriers\n\nWork environment that promotes diversity - Diversity Charter\n\nDo you see yourself in Aviva Services Excellence Centre? Be sure to apply!\nAviva is for everyone!\nWe’ve been ranked the #1 Best Workplace in Poland for a second year in a row and a top choice for Millennials by Great Place to Work®!\nAs a signatory to the Diversity Charter, Aviva applies a policy of equal treatment and creates a work environment that is friendly to people with disabilities. We do not require from candidates the date of birth, marital status and attached photos to your CV. We encourage all individuals regardless of gender to apply.\nMost of our people are smart working - spending also time in our office - combining the benefits of flexibility, with time together with colleagues.\nWe’re inclusive - we welcome applications from people with diverse backgrounds and experiences.\nExcited but not sure you tick every box? Research tells us that women, particularly, feel this way. So, regardless of gender, why not apply and try!\nTo find out more about current job offers at Aviva take a look here.","description_format":"text","description_chars":6517,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Cafeteria","Hybrid work","Parental leave"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-09-23T11:22:22Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.599,"p_room":0.28,"age_days":71,"expected_fill_days":30,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/aviva-canada-data-engineering-tech-lead-mdm","json_url":"https://alion.io/job/aviva-canada-data-engineering-tech-lead-mdm.json","meta":{"generated_at":"2026-10-22T04:42:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5176,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1074183},"rest":"https://alion.io/mcp/rest/get_company?id=1074183"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faviva-canada-data-engineering-tech-lead-mdm"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faviva-canada-data-engineering-tech-lead-mdm"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faviva-canada-data-engineering-tech-lead-mdm"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/aviva-canada-data-engineering-tech-lead-mdm\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faviva-canada-data-engineering-tech-lead-mdm"}]}