Informatica Lead with DBT Experience (Data Build Tools)

  • Schaumburg, IL
  • Posted 23 hours ago | Updated 23 hours ago

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

ADF
Business Rules
Cloud Computing
Clustering
Data Engineering
Data Quality
Data Warehouse
Databricks
DevOps
Documentation
ELT
Extract
Transform
Load
GitHub
Informatica
Insurance
Macros
Management
Mapping
Microsoft Azure
Migration
Modeling
Performance Tuning
Query Optimization
Roadmaps
Snow Flake Schema
Test Strategy
Unit Testing
Workflow

Job Details

DBT/Informatica Lead

Hybrid - 3 days on-site in Schaumburg, IL

Top 5 Technical Skills:

  1. 8+ years total experience in Data Engineering / ETL / Data Warehousing.
  2. 3+ years hands-on experience with dbt (Core or Cloud) building production-grade pipelines.
  3. Proven experience leading an Informatica ? dbt migration to Snowflake on Azure (or similar large-scale ETL modernization).
  4. Strong Snowflake experience: designing and developing schemas, views, warehouses, and performance optimization.
  5. Solid working knowledge of Azure data stack: Azure Data Factory, ADLS, Azure DevOps/GitHub.

Company / Project Description / Business Driver

Datacenter Lift and Shift Project for Insurance Client

Job Description:

Roles & Responsibilities:

  • 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.

Benefits:

SES hires W2 benefitted and non-benefitted consultants. Our contract employee benefits include group medical dental vision life LT and ST disability insurance, 21 days of accrued paid time off, 401k, tuition reimbursement, performance bonuses, paid overtime, and more.

Please contact me to discuss the details of this position further.

*Please forward resume directly to for immediate consideration - rstarinieri at sesc .com

I look forward to speaking with you soon!

Robin Starinieri

Director of Recruiting

Systems Engineering Services

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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