{"schemaVersion":"jobsearcher.job.v1","id":"e82a5b4fdd00734643263b66","url":"https://jobsearcher.com/jobs/e82a5b4fdd00734643263b66","canonicalUrl":"https://jobsearcher.com/jobs/e82a5b4fdd00734643263b66","title":"Data Platform Transformation Architect","description":"Focus on this:PYTHON TOO!CI/CD, GitHub, version control and TerraformTechnical design (microservices, APIs, test strategy and front-end technologies)Snowflake and database designExtensive hands-on developmentAI coding toolsThe roleOwn the migration from legacy pipelines to a modern data platform that underpins how the entire firm interacts with dataBuild trusted, well-modeled data layers across a complex multi-asset investment platformUntangle existing business logic in stored procs and spreadsheets, re-implement in tested, version-controlled codeReconcile data across multiple source systems and establish data quality standardsMake pragmatic data quality tradeoffs -- fix at source vs. patch downstream vs. document and move onMaintain continuity of existing reporting through the transitionSenior data/analytics engineer who has led a data platform transformation . Has worked in environments with complex legacy systems and multiple data sources -- and knows how to modernize them without breaking what's already running. 7-10+ years in data engineering,TechnicalPython, SQL, Snowflake, dbt, AirflowCloud data platforms (storage, orchestration, serverless)Data modeling (dimensional, SCDs, snapshots)Data quality tooling (great expectations, dbt tests, data contracts)CI/CD for data pipelinesStored procedure migration to modern ELTDomain (This is a plus but not required)Investment data lifecycle: positions, transactions, prices, benchmarks, corporate actions, cash flowsMulti-asset: equities, fixed income, derivatives, alternativesPrevious experience with risk systems including Aladdin, Riskmetrics, Barra or equivalent preferred.Portfolio analytics: returns, attribution, risk measuresMiddle/back office systems (OMS, portfolio accounting, custodian feeds)Financial data vendors (Bloomberg, MSCI, FactSet)IBOR vs ABOR","company":"Anvik Technologies","rawCompany":"anvik technologies","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-03T11:00:27.054Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Platform Transformation Architect","description":"Focus on this:PYTHON TOO!CI/CD, GitHub, version control and TerraformTechnical design (microservices, APIs, test strategy and front-end technologies)Snowflake and database designExtensive hands-on developmentAI coding toolsThe roleOwn the migration from legacy pipelines to a modern data platform that underpins how the entire firm interacts with dataBuild trusted, well-modeled data layers across a complex multi-asset investment platformUntangle existing business logic in stored procs and spreadsheets, re-implement in tested, version-controlled codeReconcile data across multiple source systems and establish data quality standardsMake pragmatic data quality tradeoffs -- fix at source vs. patch downstream vs. document and move onMaintain continuity of existing reporting through the transitionSenior data/analytics engineer who has led a data platform transformation . Has worked in environments with complex legacy systems and multiple data sources -- and knows how to modernize them without breaking what's already running. 7-10+ years in data engineering,TechnicalPython, SQL, Snowflake, dbt, AirflowCloud data platforms (storage, orchestration, serverless)Data modeling (dimensional, SCDs, snapshots)Data quality tooling (great expectations, dbt tests, data contracts)CI/CD for data pipelinesStored procedure migration to modern ELTDomain (This is a plus but not required)Investment data lifecycle: positions, transactions, prices, benchmarks, corporate actions, cash flowsMulti-asset: equities, fixed income, derivatives, alternativesPrevious experience with risk systems including Aladdin, Riskmetrics, Barra or equivalent preferred.Portfolio analytics: returns, attribution, risk measuresMiddle/back office systems (OMS, portfolio accounting, custodian feeds)Financial data vendors (Bloomberg, MSCI, FactSet)IBOR vs ABOR","datePosted":"2026-08-03T11:00:27.054Z","dateModified":"2026-08-03T11:00:27.054Z","hiringOrganization":{"@type":"Organization","name":"Anvik Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e82a5b4fdd00734643263b66"},"url":"https://jobsearcher.com/jobs/e82a5b4fdd00734643263b66"}}