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Job Description
Description Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards. You'll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.
Key Responsibilities:
+ Design and implement end-to-end data architecture for big data and advanced analytics platforms. + Architect and build Delta Lake-based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture. + Develop scalable data models that meet performance, security, and governance requirements. + Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines. + Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools. + Establish and enforce best practices for data governance, security, and cost optimization. + Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions. + Provide technical leadership and mentorship to team members. + Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency. + Ensure compliance with organizational and regulatory standards related to data privacy and security. + Create and maintain documentation for architecture, processes, and governance standards.
Requirements Required Qualifications:
+ 5+ years of experience in data engineering and data modeling, including at least 2 years in an architecture or senior technical leadership role. + Proven experience designing enterprise cloud data platforms (Azure). + Hands-on experience with Databricks for building, orchestrating, and optimizing data pipelines. + Hands-on experience building lakehouse architectures using Delta Lake, DLT, PySpark, workflows, Unity Catalog, and Medallion patterns.
