• Diseñas modelos de datos orientados a sistemas de información no distribuidos • Diseñas procesos de extracción de datos escalables y reutilizables desde diferentes orígenes hacia el ecosistema de datos • Estableces métricas para medir el rendimiento de la plataforma de analítica • Estableces modelos de medición enfocados en garantizar la calidad de los datos • Implementas mejoras continuas en la infraestructura que soporta la plataforma de analítica • Desarrollas la clasificación e investigación de problemas relacionados con las áreas de BI y Analytics • Asumes las demás funciones que le sean asignadas por su líder inmediato y que correspondan a la naturaleza del cargo

Title: Senior Data Architect #2931 Job Description: Contract: 12-18 months Location: Dallas, Texas (hybrid - onsite 3-4 days/week) *LOCAL CANDIDATES ONLY Our client is looking for a Senior Data Architect who’s passionate about designing smart, scalable, and strategic data solutions. This is an opportunity to take ownership of complex data initiatives spanning Data Warehousing, ODS, ETL, and Master Data Management, while partnering closely with business and technical teams to shape how data drives decisions across the enterprise. The right candidate will bring not just technical expertise, but also the ability to communicate clearly and confidently with business and functional owners, turning complex data concepts into actionable insights. What You’ll Bring: - Bachelor’s degree in Computer Science, Information Technology, or a related discipline - 6+ years of experience designing and implementing data architecture across OLTP, Data Warehousing, and Big Data environments. - Strong background in Solution Architecture, Data Governance, and Master Data Management (MDM). - Hands-on expertise with ETL, data integration, APIs, OLAP, and best practices for data movement and processing. - Expertise in data modeling, database design, and translating business requirements into effective data structures. - Proven ability to collaborate with both technical and non-technical stakeholders, clearly communicating data strategy, architecture, and design decisions. - Excellent communication, presentation, and documentation skills. - A proactive, detail-oriented mindset and the confidence to mentor others. What You’ll Do: - Design, implement, and evolve enterprise data solutions across multiple systems and environments. - Partner with business and functional teams to align data strategies with organizational goals. - Drive data governance standards, ensuring data accuracy, lineage, and consistency. - Create and maintain architecture documentation, data dictionaries, and modeling guidelines. - Define best practices for data movement, transformation, and management with ETL and DBA teams. - Develop and execute the roadmap for Master Data Management (MDM), including tool evaluation and rollout. - Mentor team members and contribute to a culture of technical excellence and knowledge sharing. Why You’ll Love Working There: - Be part of a collaborative, high-energy team that values innovation, clear communication, and results. - Work directly with leadership to influence enterprise data strategy and architecture. - Join a forward-thinking organization that encourages creativity, ownership, and continuous learning.

• Develop and implement Snowflake-based governance solutions that ensure data quality, security, and compliance across enterprise platforms. • Build automated privacy processes to streamline data protection workflows and reduce manual intervention. • Support data cleanup initiatives to maintain data integrity and optimize warehouse performance. • Implement data masking and obfuscation techniques to safeguard sensitive information. • Assist with JSON field privacy remediation to ensure compliance with data protection standards. • Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.

• Develop and implement Snowflake-based governance solutions that ensure data quality, security, and compliance across enterprise platforms. • Build automated privacy processes to streamline data protection workflows and reduce manual intervention. • Support data cleanup initiatives to maintain data integrity and optimize warehouse performance. • Implement data masking and obfuscation techniques to safeguard sensitive information. • Assist with JSON field privacy remediation to ensure compliance with data protection standards. • Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.