Senior Data Engineer in the Data Architecture team, responsible for designing, building and running data pipelines and platform components on Microsoft Fabric, leading workstreams, coaching engineers, and ensuring secure, reliable data for analytics and AI.
Responsibilities
Design, build and run data pipelines using Fabric Data Factory and Fabric Lakehouse
Own ingestion of data from core systems such as Workday, Dynamics 365, Business World and SharePoint
Design data structures in Fabric Warehouse and Lakehouse and deliver curated datasets for Power BI and other reporting
Build security, data classification and access controls into pipelines and review others' work
Redesign legacy ETL and ELT processes for Fabric and plan cut-over
A Senior Data Engineer role requiring 4-6 years of experience with Azure Databricks, ADF, and delta lake to build ETL pipelines and reporting applications.
Responsibilities
Creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development etc.
Understand business requirements to set functional specifications for reporting applications
Handle semi-structured data and streaming
Manage Azure synapse analytics, data lake, and data warehouse
Strategic role to design and govern technology architecture for manufacturing operations and digital transformation strategy globally, bridging business functions, plant operations, OT, and corporate IT.
Responsibilities
Set architecture strategy and roadmap
Guide Dynamics 365 and ERP architecture
Architect data and analytics capabilities
Advance IT/OT convergence across sites
Guide integration and cloud architecture
Requirements
Bachelor’s or master’s degree in Computer Science
Industrial Engineering
Management Information Systems
Nice to have: Microsoft, cloud, security, or enterprise architecture certifications
Lead Data Engineer responsible for designing and architecting scalable and secure data platforms on Azure and GCP, while mentoring data engineering teams and ensuring quality and governance.
Responsibilities
Lead the design and architecture of modern, scalable, and secure data platforms in Microsoft Azure and GCP
Supervise and mentor Data Engineering teams in implementing robust pipelines and standards
Design and industrialize large-scale data processing workflows using Spark, Azure Databricks, or Dataflow
Implement DataOps and FinOps practices to optimize costs and automate deployments (CI/CD)
Collaborate with BI, Data Science, DevOps, and business teams to translate needs into data architectures
Senior Associate in Deals Real Assets focusing on data engineering and digital solutions for capital projects.
Compensation
The salary range for this position is $60,000 - $100,100.
Responsibilities
Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Design and implement data models within Azure Data Lake, leveraging Medallion Architecture and building complex business logic into scalable, efficient transformations
Develop processes to ingest data from relational databases, APIs, flat files, and project management systems
Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions
Monitor, troubleshoot, and optimize data solutions for performance, scalability, and cost-effectiveness
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
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