Weidenhammer ยท 11 hours ago
Analytics & Data Engineer
Philadelphia, PA
Full-time
Hybrid
Senior Level
5+ years expWeidenhammer is seeking an Analytics & Data Engineer to engage in architecture, consulting, and development of Data Engineering and Business Intelligence solutions. This client-facing role requires excellent relationship management and communication skills, as well as expertise in data strategy and technology solutions.
Information ServicesInformation Technology
Responsibilities
Support solution decision-making as a trusted technical advisor
Design, implement, and deploy data platforms in public and private cloud environments
Guide clients on data strategy, governance, architecture, and quality management
Conduct customer workshops, discovery sessions, and presentations
Educate clients on modern technologies and their business value
Define processes and tools for data acquisition, storage, transformation, and analysis
Communicate solution and technology options and their business impact
Develop roadmaps and implementation strategies for data initiatives
Review and audit existing solutions and create architecture documentation
Discuss solutions with stakeholders from C-level to engineering teams
Function in various roles throughout the project lifecycle
Assist in pre-sales activities and client presentations
Excellent analytical, verbal, written, and communication skills
Ability to communicate professionally with senior leadership in the role of project leader
Contribute to an engaging work environment
Provide technical expertise in business analytics, data integration, and visualization
Specialist knowledge in major relational and NoSQL-type data platforms
Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence
Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT
Ability to identify company requirements for data insights and warehousing
Comfortable working with various corporate stakeholders
Expert in architecting Data Lakes and modern data concepts
Experience with Row-Level Security
Experience leveraging Python and GenAI for development
Qualification
Required
Support solution decision-making as a trusted technical advisor
Design, implement, and deploy data platforms in public and private cloud environments
Guide clients on data strategy, governance, architecture, and quality management
Conduct customer workshops, discovery sessions, and presentations
Educate clients on modern technologies and their business value
Define processes and tools for data acquisition, storage, transformation, and analysis
Communicate solution and technology options and their business impact
Develop roadmaps and implementation strategies for data initiatives
Review and audit existing solutions and create architecture documentation
Discuss solutions with stakeholders from C-level to engineering teams
Function in various roles throughout the project lifecycle
Assist in pre-sales activities and client presentations
Excellent analytical, verbal, written, and communication skills
Ability to communicate professionally with senior leadership in the role of project leader
Contribute to an engaging work environment
Provide technical expertise in business analytics, data integration, and visualization
Specialist knowledge in major relational and NoSQL-type data platforms
Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence
Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT
Ability to identify company requirements for data insights and warehousing
Comfortable working with various corporate stakeholders
Expert in architecting Data Lakes and modern data concepts
Experience with Row-Level Security
Experience leveraging Python and GenAI for development
B.S./M.S. in Computer Science, Software Engineering, or related discipline
Proven ability to develop and implement high-quality software solutions
Minimum 5 years of Microsoft data reporting, analytics, visualization, and integration experience
Minimum 5 years of data solution development experience
Vast knowledge of Microsoft technology stacks, including Azure and M365
At least one active Microsoft Fabric certification
Preferred
Experience with big data technologies, Data Bricks, and Snowflake
Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts
Experience with Star & Snowflake
Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics
Company
Weidenhammer
Weidenhammer is a diversified information technology firm that provides high quality IT products, services.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
John P. Weidenhammer
Chairman & CEO
Recent News
EIN Presswire
2025-01-08
Company data provided by crunchbase