Hybrid Senior Data Engineer: Governed Snowflake Pipelines Lead

Experis (Austria); Appleton (WI); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

HSA

FSA

Dependent Care FSA

Life insurance

Disability insurance

Travel insurance

401(k) match

Weekly pay

Job summary

ManpowerGroup is seeking a Senior Data Engineer to join a hybrid team focused on building a governed Snowflake + Azure data foundation. You will own ingestion, transformation, and serving layers for trusted data products, while ensuring data quality, lineage, and observability across platforms.

The role requires hands-on expertise with Snowflake, Azure data services, and dbt, along with a track record of leadership in enterprise environments.

Qualifications

• 4–7 years of professional data engineering experience with leadership on enterprise-grade platforms.
• Advanced SQL skills including complex queries, performance tuning, and scalable schema design.
• Hands-on experience with dbt or equivalent transformation frameworks, including testing and CI/CD integration.
• Production experience with Snowflake and Azure data services (ADF, Storage, Key Vault).
• Knowledge of data governance, lineage, cataloging, and SOC 2 Type 2 / PII handling practices.

Responsibilities

• Lead the design and implementation of enterprise-grade data pipelines on Snowflake and Azure, owning ingestion, transformation, and serving layers for governed data products.
• Architect ingestion patterns across source systems using CDC, batch, and streaming approaches as appropriate.
• Establish transformation frameworks using dbt with version-control, tests, and observability.
• Own pipeline SLAs by defining freshness, completeness, and error-rate targets with runbooks and on-call readiness.
• Drive data governance, lineage, and metadata management for traceable KPIs.

Skills

Technical leadership

Advanced SQL

Data modeling

Tools

Snowflake

Azure Data Factory

Azure SQL

dbt

Job description

ManpowerGroup is seeking a Senior Data Engineer to join a hybrid team focused on building a governed Snowflake + Azure data foundation. You will own ingestion, transformation, and serving layers for trusted data products, while ensuring data quality, lineage, and observability across platforms.

The role requires hands-on expertise with Snowflake, Azure data services, and dbt, along with a track record of leadership in enterprise environments.