Informatica lead

Artifintech; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a senior Data Engineer to lead the dbt/Snowflake migration from Informatica on Azure. You will design modular models, establish standards, and drive performance optimizations across staging, core and mart layers.

You will oversee the migration factory, validation runs, and hands-on development of dbt models, tests and documentation while setting up dev/test/prod environments and enforcing code quality.

Qualifications

• 8+ years in Data Engineering/ETL/Data Warehousing.
• 3+ years hands-on dbt development in production pipelines.
• Experience migrating Informatica workloads to dbt on Snowflake (Azure).
• Strong Snowflake design, warehouses, views and performance tuning.
• Proficient with Azure data stack: ADF, ADLS, Azure DevOps/GitHub.

Responsibilities

• Define target ELT architecture with dbt on Snowflake integrated with Azure services.
• Translate Informatica mappings/workflows into modular dbt models across layers.
• Lead migration strategy, roadmap, and wave planning for Informatica to dbt.
• Oversee conversion, unit testing and parallel runs to validate outputs.
• Develop dbt models, seeds, snapshots, tests, macros and documentation.
• Define testing strategy with dbt tests and data quality checks.
• Set up and maintain dbt environments (dev/test/prod) and connections.
• Enforce code quality and conduct PRs/reviews.

Skills

Data Engineering

ETL/ELT

Data Warehousing

dbt development

Informatica migration

Snowflake architecture

Azure data stack

Tools

dbt Core/Cloud

Snowflake

Azure Data Factory

ADLS

Azure DevOps/GitHub

Job description

• Define the target ELT architecture using dbt on Snowflake, integrated with Azure services (ADF, ADLS, Synapse/Databricks, Key Vault, Azure DevOps/GitHub).
• Translate legacy Informatica mappings, workflows, and sessions into modular dbt models (staging, core, mart layers).
• Establish modeling standards (naming conventions, layer design, folder/package structure) for staging, integration, and mart layers.
• Define and implement performance-optimized patterns in dbt and Snowflake (incremental models, clustering, partitioning logic, query tuning).
• Lead the migration strategy, roadmap, and wave planning for converting Informatica jobs to dbt on Snowflake.
• Analyze existing ETL logic, dependencies, and schedules in Informatica and design equivalent or improved logic in dbt.
• Design a repeatable migration factory: templates, accelerators, mapping spreadsheets, and conversion playbooks for Informatica dbt.
• Oversee conversion, unit testing, and parallel runs to validate that dbt models match legacy outputs (row counts, aggregates, business rules).
• Lead hands-on development of dbt models, seeds, snapshots, tests, macros, and documentation.
• Define and implement testing strategy using dbt tests (schema tests, data tests, custom tests) and integrate with broader data quality checks.
• Set up and maintain dbt environments (dev/test/prod), profiles, and connections to Snowflake on Azure.
• Introduce and enforce code quality practices.
• Code reviews & pull requests
• Modular, reusable models and packages

Minimum Skills Required:

• 8+ years total experience in Data Engineering / ETL / Data Warehousing.
• 3+ years hands-on experience with dbt (Core or Cloud) building production-grade pipelines.
• Proven experience leading an Informatica dbt migration to Snowflake on Azure (or similar large-scale ETL modernization).
• Strong Snowflake experience: designing and developing schemas, views, warehouses, and performance optimization.
• Solid working knowledge of Azure data stack: Azure Data Factory, ADLS, Azure DevOps/GitHub.

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract