Job description

Cloud Data Specialist (On-Site in Boston, 5 Days/Week) We are seeking an experienced Azure Data Solutions Specialist to design, implement, and manage cloud-based data architecture and solutions using Microsoft Azure technologies. This is a full-time, on-site position that requires a strong technical background in building scalable, secure, and efficient data systems. • please note that our client is unable to offer sponsorship of any kind for this role. You must be either a US Citizen or a current GC holder to apply. No other status will be accepted. Candidates must currently be local to the Greater Boston area and able to be on site 5 days a week to be considered* Key Responsibilities: • Data Architecture: Design and maintain scalable Azure-based data architectures that support enterprise-level data processing and analytics needs. • Data Engineering: Develop robust data pipelines and streaming solutions to support real-time and batch data processing. • Integration & ETL: Build and manage data integration workflows using ETL tools to consolidate data from multiple sources into centralized platforms. • Storage Solutions: Implement and manage data lakes, relational databases, and other storage solutions within the Azure ecosystem. • Advanced Data Processing: Leverage tools such as Azure Databricks, Azure Data Factory, and advanced analytics platforms—including OpenAI integrations—to process large-scale datasets. • Collaboration: Engage with cross-functional teams to understand data requirements and deliver scalable technical solutions. • Security & Compliance: Apply data governance principles and ensure alignment with regulatory and organizational security standards. • Performance Tuning: Monitor system performance and optimize architecture for speed, cost-efficiency, and reliability. • Continuous Improvement: Stay current on Azure technologies and best practices to enhance existing solutions. • Technical Guidance: Provide mentorship and enforce best practices within the data engineering and analytics teams. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or related discipline—or equivalent professional experience. • 3–5 years of experience designing and developing data solutions on Microsoft Azure. • Proficiency with Azure services including Azure SQL Database, Fabric, Data Lake Storage, and Azure Data Factory. • Strong command of SQL and experience with programming languages such as Python. • Familiarity with CI/CD pipelines and automation tools within the Azure ecosystem. • Effective communicator with the ability to work independently and collaboratively. Preferred Skills: • Experience with additional cloud platforms (e.g., AWS, GCP). • Exposure to AI/ML platforms and advanced analytics tools. • Knowledge of data governance, data quality, and DevOps methodologies. • Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect). • Familiarity with regulated environments such as finance, legal, or healthcare (a plus). Please send your resume to Angela Fagin at afagin@daleyaa.com for consideration. Again, no C2C, no sponsorship, no relocation. USC and GC only. IND123

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