Data Platform Architect

Job Summary
Seeking a highly skilled Data Platform Architect with extensive hands-on experience in designing and implementing modern data platforms and analytics solutions. The ideal candidate will have deep technical expertise in data architecture technologies, a strong understanding of data engineering patterns, and exceptional business engagement and communication skills to drive alignment between technical solutions and business objectives. They should possess strong hands-on experience with data lakes, data warehouses, and data bricks, as well as Lakehouse and Unity Catalog, ETL/ELT pipelines using data bricks, and real-time data streaming. The candidate will be adept at building and maintaining CI/CD pipelines for data platform solutions. A solid understanding of data visualization tools such as Power BI, Tableau, and Spotfire is essential for creating insightful dashboards and reports.

Strong business engagement skills are crucial, enabling the candidate to collaborate effectively with stakeholders, gather requirements, and align data strategies with business goals. Exceptional communication skills are essential for articulating complex technical concepts to senior leadership, business users, and technical teams. Familiarity with Lakehouse architecture and data mesh design patterns is crucial for scalable data storage and analytics.

The candidate should possess a strong understanding of emerging AI and ML technologies and be able to integrate them into data solutions effectively. Excellent problem-solving skills and the ability to work independently or as part of a team are also necessary for this role.

Responsibilities

• Design and implement data platform solutions leveraging modern data architecture patterns, including data lakes, Lakehouse, and data mesh
• Extensive hands-on experience in designing, implementing, and optimizing data pipelines using Databricks and Data Lake architecture.
• Architect and deliver scalable, high-performance data solutions for both structured and unstructured data, utilizing preferred cloud services on Azure or AWS. Highly preferred Microsoft Azure
• Develop and maintain robust CI/CD pipelines for data integration, processing, and deployment
• Provide guidance on best practices for data modeling, data governance, and data integration across cloud and on-premises environments
• Engaged closely with business stakeholders to understand strategic objectives and translate them into scalable technical solutions
• Effectively communicate complex data architecture concepts to both technical and non-technical stakeholders, ensuring clarity and alignment
• Drive the adoption of emerging AI and ML technologies by integrating AI-driven capabilities into data solutions for enhanced insights and decision-making
• Develop and maintain data visualization and analytics solutions using tools like Power BI, Spotfire
• Ensure data security, compliance, and performance optimization within cloud and hybrid environments
• Mentor technical teams and provide architectural guidance throughout project delivery
• Hands-on experience on data governance platforms such as Alation, Microsoft Purview or Unity Catalog

Licenses/ Certifications

• Certification in cloud data engineering or architecture (e.g., Azure Data Engineer, AWS Certified Data Analytics, Databricks certified developer/Architect)

Qualifications/Requirements

• Bachelor’s degree or above
• Experience in data governance, data security, and performance tuning within cloud environments.
• Hands-on development experience on building enterprise-level data engineering, analytics, and AI solutions
• Proven experience in leading technical teams and driving the end-to-end delivery of solutions.
• Proven experience as a Data Architect or Data Engineer with expertise in modern data platform technologies.
• Strong hands-on experience with data lakes, data warehouses, ETL/ELT pipelines, and real-time data streaming.
• Expertise in building and maintaining CI/CD pipelines for data platform solutions.
• Solid understanding of data visualization tools (Power BI, Spotfire, Tableau) for building insightful dashboards and reports.
• Strong business engagement skills, with the ability to collaborate with stakeholders, gather requirements, and align data strategies with business goals.
• Exceptional communication skills-ability to articulate complex technical concepts to senior leadership, business users, and technical teams.
• Become familiar with Lakehouse architecture and data mesh design patterns for scalable data storage and analytics.
• Strong grasp of emerging AI and ML technologies, with the ability to effectively integrate them into data solutions.
• Excellent problem-solving skills and the ability to work independently or as part of a team.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian’s platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian’s brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.