Senior Data Engineer

Responsibilities

• Data Platform & Architecture Support
• Data Modeling & Semantic Layer Support
• Pipelines, Quality & Reliability
• Governance, Security & Compliance
• Collaboration & Enablement

Requirements

• Strong SQL and Python skills.
• Proficiency with Azure-based tools (Data Factory, Fabric/Lakehouse, OneLake) or Databricks equivalents.
• Deep understanding of data lineage, cataloging, governance, data quality frameworks, and security best practices.
• Experience with CLI's and AI-assisted workflows (Claude desktop, Databricks Genie, or equivalent).
• Familiarity with enterprise systems such as Sage 300/CMiC (ERP), Workable/SagePeople (HRIS), and Cosential/Unanet (CRM).

Qualifications

• 5+ years in data architecture, data engineering, analytics engineering, or a similar development role within a modern cloud environment.
• Strong experience designing data models, building ETL/ELT pipelines, and managing lakehouse or warehouse environments.
• Experience with Databricks, MS Fabric, Delta Lake, or similar platforms.
• Experience with construction or project-based analytics is a plus.

Skills

• Excellent communication skills with the ability to translate complex technical concepts for business teams.
• Strong critical thinking, problem-solving, and analytical abilities.
• Demonstrated ability to collaborate cross-functionally and drive adoption of data best practices.

Benefits

Consigli is strengthening its Data & Analytics capabilities to provide reliable, real-time, and predictive insights to project teams and business leaders.

Pay

$100,000 - $120,000

Schedule

Full-Time