Data Architect

Job Description We are seeking an experienced Data Architect to lead and shape our GenAI Insights team. This role will focus on designing, implementing, and optimizing scalable data solutions across Azure and modern data platforms. The Data Architect will oversee a team of Data Engineers, ensure best practices in data quality and governance, and drive insights delivery through advanced analytics and visualization tools. Key Responsibilities o Leadership & Strategy u25aa Lead and mentor Data Engineering teams, fostering a culture of collaboration, innovation, and continuous improvement. u25aa Define and own the overall data architecture vision, ensuring alignment with organizational goals and industry best practices. u25aa Partner with business leaders to translate strategic objectives into scalable data solutions. o Data Architecture & Engineering u25aa Design, build, and manage modern data platforms leveraging Azure Data Lake, Azure SQL Server, Databricks, Microsoft Fabric, and NoSQL databases. u25aa Develop and maintain scalable data pipelines to integrate data from multiple structured and unstructured sources. u25aa Establish and implement data quality engineering practices to ensure consistency, accuracy, and reliability across data assets. u25aa Drive adoption of data governance and security frameworks to protect and manage enterprise data. u25aa Knowledge of advanced analytics, machine learning, or AI-based solutions. o Analytics & Insights u25aa Enable data-driven decision making by designing solutions that deliver timely, trusted, and actionable insights. u25aa Collaborate with business intelligence teams to build Power BI dashboards and executive-level reporting. u25aa Partner with executive leadership to present insights in a clear, compelling, and strategic manner. u25aa Understanding of Generative AI tooling and the ability to integrate AI into generating insights for the data We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements - Bachelor's degree in computer science, Information Systems, Data Engineering, or a related discipline. - 5+ years of overall professional experience in data engineering, architecture, or analytics roles. - Relevant data engineering certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer, Microsoft Fabric Analytics Engineer Associate) - Proven experience leading and managing Data Engineering teams in enterprise environments. - Strong expertise with SQL Server, Azure Data Lake, Databricks, and Microsoft Fabric. - Hands-on experience with NoSQL databases (Cosmos DB, MongoDB, Cassandra, or equivalent). - Demonstrated skills in data quality engineering, including profiling, validation, and monitoring of enterprise data. - Proficiency in developing and deploying Power BI dashboards and enterprise reporting solutions. - Demonstrated success in building data pipelines to integrate and transform data from multiple sources. - Strong knowledge of Azure cloud services, data storage, security, and governance. - Exceptional communication skills, with the ability to convey complex technical concepts to executive stakeholders

Created: 2026-01-16