{"id":1879145,"url":"https://alion.io/job/allianz-architect-data-engineer-2","title":"Architect-Data Engineer","company":{"id":1757325,"name":"Allianz","domain":"allianz.com","url":"https://alion.io/company/allianz-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Dynatrace","optional":true}],"status":"live","first_seen_at":"2026-09-27T00:00:00Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-09T01:14:47Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Role Overview\nWe are looking for an experienced Data Platform Solution Architect to join an existing enterprise data platform team. The role requires the ability to rapidly assimilate a complex, partially implemented platform - understanding what has been built, what remains, and what needs to evolve - and to translate that into a clear, actionable architecture that guides the team through current delivery and the next stage of platform transformation. This person will work closely with senior engineers and stakeholders, providing the architectural vision and technical direction needed to complete ongoing work and design the path forward.\nKey Responsibilities\nRapidly assess and develop a deep understanding of the current platform state across all layers and components, working alongside the existing engineering team\nDefine and own the target-state architecture, bridging the gap between what is currently implemented and what needs to be completed or evolved\nDrive non-functional requirements - scalability, availability, performance, security, and resilience - into platform design\nDesign the architectural roadmap for the next stage of platform transformation, ensuring continuity with current investments while enabling future scalability\nTranslate business and data requirements into architectural decisions, reference designs, and technical standards\nProvide hands-on architectural guidance to engineering teams on a day-to-day basis - not limited to design documents but actively engaged in delivery\nEvaluate and select technologies, tools, and vendors, with clear trade-off analysis.\nChampion automation, self-service, and infrastructure-as-code to reduce operational friction\nIdentify architectural risks, dependencies, and trade-offs across the platform and recommend mitigation strategies\nDefine integration patterns, data flow designs, and governance standards across source ingestion, transformation, and consumption layers\nEstablish and enforce architecture principles, design patterns, and platform standards across the team\nCollaborate with data governance, business, information security, enterprise architecture and technology stakeholders to align platform direction with enterprise requirements\nSupport migration planning by defining target architectures, transition states, and validation strategies for workload migrations across platforms\nDrive decisions on platform tooling, infrastructure, and service selection in alignment with cloud and enterprise architecture standards\nCore Technical Skills\nArchitecture & Design\nDesign and implement enterprise-scale data platform architectures from ingestion to consumption using Lakehouse/Medallion architecture principles. \nStrong expertise in data modelling, data governance, data quality, lineage, CDC, SCD, audit, and control frameworks. Experience with Unity Catalog and Azure Purview for enterprise data governance.\nArchitect scalable batch and real-time data processing, ETL/ELT frameworks, migration strategies, and performance optimization. \nHands-on experience with the Azure Data Platform, including Azure Synapse Analytics, ADLS Gen2, Delta Lake, Azure Analysis Services, Oracle GoldenGate (or equivalent), and Power BI semantic models. \nExtensive experience with Azure Databricks, including Delta Lake, Delta Live Tables, Unity Catalog, Spark, workflow orchestration, governance, and Lakehouse migration. \nStrong Azure cloud architecture expertise covering security, networking, scalability, resilience, and cost optimization. \nExperience with Infrastructure as Code (Terraform preferred), CI/CD and DevOps practices using Azure DevOps/GitHub Actions, and container technologies (Docker/Kubernetes). \nStrong hands-on engineering background with advanced Python and SQL skills, capable of reviewing, optimizing, and contributing to implementation decisions. \nDefine and implement operational excellence practices including environment management (DEV/UAT/PROD), monitoring & alerting, vulnerability management, and incident/problem management.\nEstablish comprehensive testing frameworks, including unit testing, data reconciliation, smoke testing, and end-to-end validation for data pipelines.\nProvide technical leadership through architecture reviews, code reviews, mentoring, and implementation governance to ensure adherence to enterprise standards.\nDefine agentic integration patterns to enhance data ingestion options\nNice to Have\nExposure to real-time and streaming architectures (Event Hub / Kafka / Kinesis)\nFamiliarity with MLOps \nExperience with monitoring and observability frameworks (e.g., Dynatrace)\nExperience & Profile\n10+ years of experience in Data Engineering and/or Data Architecture, with at least 4-5 years in a solution or platform architect role\nProven experience joining mid-flight programs - able to quickly understand existing implementations and make sound architectural decisions without starting from a blank slate\nTrack record of delivering architecture across complex, multi-layer data platforms in enterprise environments\nStrong ability to balance pragmatism with rigor - delivering architecture that works for the team today while keeping the longer-term direction sound\nExcellent communication and stakeholder management skills - able to present technical architecture clearly to both engineering teams and non-technical stakeholders\nCollaborative by nature - this is a working architect role embedded with the team, not a remote advisory position\nExperience working in regulated or enterprise-scale environments \n\n106066 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent\n Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.\nAt Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.\nWe therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.\nGreat to have you on board. Let's care for tomorrow.","description_format":"text","description_chars":6663,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-04T23:22:36Z"},{"event":"close","at":"2026-10-06T06:11:33Z"},{"event":"reopen","at":"2026-10-06T08:52:56Z"},{"event":"close","at":"2026-10-06T11:28:21Z"},{"event":"reopen","at":"2026-10-06T14:26:36Z"}],"visa":[],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":1,"p_active":0.793,"p_room":0.75,"age_days":11,"expected_fill_days":12,"reasons":["conf:1","velocity","win:late","comp:brand"],"computed_at":"2026-10-08T05:49:30Z"},"pay":null,"html_url":"https://alion.io/job/allianz-architect-data-engineer-2","json_url":"https://alion.io/job/allianz-architect-data-engineer-2.json","meta":{"generated_at":"2026-10-09T03:32:27Z","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","counted_by":"address","units_charged":1,"used_today":2358,"day_limit":5000,"remaining_today":2642,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":1757325},"rest":"https://alion.io/mcp/rest/get_company?id=1757325"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallianz-architect-data-engineer-2"},{"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%2Fallianz-architect-data-engineer-2"},{"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%2Fallianz-architect-data-engineer-2"},{"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/allianz-architect-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallianz-architect-data-engineer-2"}]}