Data Solutions Architect leading business intelligence solutions and analytics at Crowe. Overseeing data pipelines and analytics frameworks to drive decision - making and compliance.
About the role
- Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
Responsibilities
- Work directly with clients to understand business goals, data challenges, and technical requirements
- Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
- Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources
- Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
- Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
- Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
- Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams
- Contribute to estimation, project planning, and delivery management for client engagements
Requirements
- Bachelor’s degree in computer science or related field
- 8 years of experience in data engineering, data platform development, or cloud data solutions
- 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
- Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB
- Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
- Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
- DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
- Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies.
Benefits
- Equal opportunity employer
- Reasonable accommodation for disabilities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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