Azure Data Solution Architect

Azure Data Solutions Architect Location: Remote Overview We are seeking a highly skilled Azure Data Solutions Architect to lead the design, development, and delivery of advanced, scalable, and secure data solutions. The ideal candidate is a technical leader and strategic thinker who can translate complex business challenges into data-driven architectures, while mentoring teams, driving innovation, and optimizing cloud-based ecosystems across the enterprise. Key Responsibilities • Design and implement robust, scalable data ingestion, transformation, and analytics solutions using Azure or GCP services. • Build and optimize data pipelines leveraging Azure Data Factory (ADF), ADLS, Databricks, Synapse, and Purview. • Deliver high-quality, production-ready solutions with strong automation, documentation, and operational excellence. • Contribute to data platform roadmaps and establish engineering best practices and standards. • Ensure data governance, lineage, and security compliance with CI/CD, QMS, and regulatory frameworks. • Provide technical leadership and mentorship to global data engineering teams. • Champion data mesh principles and scalable architectural patterns. • Drive innovation and continuous improvement through technology evaluations and proof-of-concepts. • Collaborate closely with architecture and DevOps teams to maintain platform reliability and performance. Required Qualifications • Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field. • 4+ years of experience (or MS with 2+ years, or PhD) in biotech, pharma, healthcare, diagnostics, or insurance domains. • Proven experience in data engineering, architecture design, and cloud data platforms. • Deep expertise with Azure Data Services – ADLS, ADF, Synapse, Databricks, Purview. • Strong knowledge of Agile, DevOps, CI/CD, and automated testing frameworks. • Hands-on experience with Kubernetes, ArgoCD/FluxCD, and containerized data solutions. • Proficiency in Python and familiarity with data-driven, domain-driven, and functional programming. • Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications (Nice to Have) • Experience with data modeling, data structures, or relational database design. • Background in biomedical data processing or life sciences. • Exposure to Generative AI or Agentic AI solutions. • Familiarity with Pharma CMC and scientific data domains. • Experience with data curation, virtualization, and advanced visualization techniques for R&D or analytics.