Data Platform Transformation Architect

Anvik Technologies; Denver (CO); On-site; USD 130,000 - 180,000; Full time

Job summary

Anvik Technologies is seeking a Senior Data/Analytics Engineer to lead a data platform transformation. You will migrate legacy pipelines to a modern ELT stack that underpins how the firm interacts with data.

You will build trusted data layers across a complex multi-asset investment platform, untangling legacy logic and re-implementing in tested, version-controlled code while ensuring reporting continuity during the transition.

Qualifications

• Senior data/analytics engineer with leadership in a data platform transformation.
• Experience modernizing legacy systems and multiple data sources.
• 7–10+ years in data engineering.

Responsibilities

• Own the migration from legacy pipelines to a modern data platform that underpins how the entire firm interacts with data
• Build trusted, well-modeled data layers across a complex multi-asset investment platform
• Untangle existing business logic in stored procs and spreadsheets, re-implement in tested, version-controlled code
• Reconcile data across multiple source systems and establish data quality standards
• Make pragmatic data quality tradeoffs -- fix at source vs. patch downstream vs. document and move on
• Maintain continuity of existing reporting through the transition

Skills

Python

SQL

Data modeling

Data pipeline design

Tools

Snowflake

dbt

Airflow

Great Expectations

dbt tests

Data contracts

Job description

• CI/CD, GitHub, version control and Terraform
• Technical design (microservices, APIs, test strategy and front-end technologies)
• Snowflake and database design
• AI coding tools

The role

• Own the migration from legacy pipelines to a modern data platform that underpins how the entire firm interacts with data
• Build trusted, well-modeled data layers across a complex multi-asset investment platform
• Untangle existing business logic in stored procs and spreadsheets, re-implement in tested, version-controlled code
• Reconcile data across multiple source systems and establish data quality standards
• Make pragmatic data quality tradeoffs -- fix at source vs. patch downstream vs. document and move on
• Maintain continuity of existing reporting through the transition

Senior 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,

Technical

• Python, SQL, Snowflake, dbt, Airflow
• Data quality tooling (great expectations, dbt tests, data contracts)
• Stored procedure migration to modern ELT

Domain (This is a plus but not required)

• Investment data lifecycle: positions, transactions, prices, benchmarks, corporate actions, cash flows
• Multi-asset: equities, fixed income, derivatives, alternatives
• Previous experience with risk systems including Aladdin, Riskmetrics, Barra or equivalent preferred.