DBT/Informatica Lead at NTT DATA

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DBT, Informatica, Snowflake, Azure Data Factory, ADLS, Databricks, Key Vault, Azure DevOps, Data Engineering, ETL, Data Warehousing, Performance Optimization, Testing Strategy, Code Quality, Migration Strategy, Documentation

Industry

IT Services and IT Consulting

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 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.

Responsibilities

Define the target ELT architecture using dbt on Snowflake and lead the migration strategy for converting Informatica jobs to dbt. Oversee the conversion, unit testing, and ensure that dbt models match legacy outputs.