Senior Data Engineer

Employment Type: Full-Time FSLA: Salary/Exempt Division: Information Technology Department: Enterprise Systems & Data Reports to: Senior Manager, Enterprise Systems & Data Supervisory Duties: No Salary Range: $100,000 - $120,000 Consigli is strengthening its Data & Analytics capabilities to provide reliable,real‑time, and predictive insights to project teams and business leaders. TheSeniorData Engineersupports the design, build, and optimization of our analytical data environment, including pipelines, semantic models, data quality controls, and governed access patterns.This role serves as both ahands‑ontechnical contributor and a coordinator of datamanagementactivities—partnering with project teams, security, and analytics stakeholders to ensure our data products are trusted, well-modeled, and ready for advanced reporting and AI use cases. Responsibilities /Essential Functions Data Platform & Architecture Support Contribute to the design and evolution of Consigli’slakehousearchitecture (Databricks, Azure,Fabric). Support ingestion, transformation, and serving patterns across Databricks notebooks,Empowerand related tools. Maintain environments, workspaces, and CI/CD patterns with guidance from senior technical leaders. Data Modeling&Semantic Layer Support the development and maintenance of subject-area models, conformed dimensions, and governed metrics used across reporting and dashboards. Partnerwith business and project teams to align and standardize KPIs for cost, schedule, risk, and operational reporting. Help refactor business logic from dashboards orad‑hocSQL into governed transformations and reusable metrics. Contribute to scaling master data domains (Project, Vendor, Budget, People, etc.) and stewarding data definitions. Pipelines, Quality & Reliability Build,maintain, and document pipelines and datasets that are versioned, code-reviewed, and tested. Implement data validation rules, anomaly detection (rule-based or ML-assisted), monitoring, and error-handling procedures. Participate in defining SLAs, tracking reliability, and executing incident response playbooks. Continuouslyidentifyopportunities to improve pipeline performance and processing efficiency. Governance, Security & Compliance Assistwith applying data classification, masking, access controls, and privacy-by-design principles. Partner with security and platform teams to support compliance audits andmaintaindocumentation. Collaboration & Enablement Work with project teams and business stakeholders to understand data needs and deliver reliable, well-modeled datasets. Promote data literacy by helping teams access and use trusted analytics assets. Provide clear communication, documentation, and best-practice guidance in data modeling, quality, and governance. Key Skills Technical Skills Strong SQL and Python skills. Proficiencywith 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 asSage 300/CMiC(ERP),Workable/SagePeople(HRIS), andCosential/Unanet(CRM) is a plus. Professional 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 driveadoptionof data best practices. Required Experience 5+ years in data architecture, data engineering, analytics engineering, or a similardevelopmentrole within a modern cloud environment. Strong experience designing data models, building ETL/ELT pipelines, and managinglakehouseor warehouse environments. Experience with Databricks, MS Fabric, Delta Lake, or similar platforms. Experience with construction or project-based analytics isa plus. #J-18808-Ljbffr Socket.dev