Informatica lead

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Chicago seeks an experienced Data Engineering Lead to drive the ELT architecture using dbt on Snowflake, integrated with Azure services such as ADF, ADLS, Synapse/Databricks, Key Vault, and Azure DevOps/GitHub. Translate legacy Informatica mappings into modular dbt models across staging, core, and marts.

You will lead the migration strategy, define modeling standards, oversee testing, code reviews, and build reusable templates and playbooks for Informatica to

Qualifications

• 8+ years total experience in Data Engineering / ETL / Data Warehousing.

Responsibilities

• Define the target ELT architecture using dbt on Snowflake, integrated with Azure services.
• Translate Informatica mappings into modular dbt models (staging, core, mart).
• Establish modeling standards for staging, integration, and mart layers.
• Lead migration strategy and wave planning for Informatica to dbt on Snowflake.
• Oversee conversion, unit testing, and parallel runs to validate dbt models.

Skills

Data Engineering

ETL

Data Warehousing

dbt knowledge

Leadership

Tools

dbt Core/Cloud

Snowflake

Azure Data Factory

Azure Data Lake Storage (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.

CLOUD ANALYTICS TECHNOLOGIES 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 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 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

Equal Opportunity Employer

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

Some of our Business Ventures - Knowledge Analytics

Do restrictive necessities, your capability for advanced analytics or your business model need custom-made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry-leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with-it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you: