Informatica lead

Cloud Analytics Technologies, LLC; Illinois; On-site; USD 110,000 - 150,000; Full time

Job summary

A leading data solutions provider in Illinois seeks a Senior Data Engineer to define ELT architecture with dbt on Snowflake and lead migration from Informatica. Candidates should possess extensive experience in data engineering, especially in infrastructure design and performance optimization using Snowflake and Azure services. This role is pivotal in ensuring efficient and seamless data transformation processes while maintaining high standards of coding and testing.

Qualifications

• 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.

Responsibilities

• Define the target ELT architecture using dbt on Snowflake integrated with Azure services.
• Lead the migration strategy for converting Informatica jobs to dbt on Snowflake.
• Oversee conversion, unit testing, and validate that dbt models match legacy outputs.

Skills

Data Engineering

ETL Processes

Data Warehousing

dbt

Snowflake

Azure Data Factory

Job description

Overview

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.

Equal Opportunity

CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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.