Senior Data Architect - Goods & Services

About Goods & Services Goods & Services is a product design and engineering company.

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size.

Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a Senior Data Architect who supports data architecture initiatives across cloud environments. Data Architect will play a role in designing, implementing, and optimizing our data infrastructure, systems and solutions to support business objectives and technical requirements. We are committed to leveraging data-driven insights to drive innovation, enhance decision-making, and deliver exceptional value to our customers.

What you’ll do:

• Design, implement, and optimize data models, databases, data warehouses, and data lakes to support data storage, retrieval, and analysis needs.
• Support strategic vision and roadmap for data architecture, in alignment with the company’s overall objectives and goals.
• Define data architecture standards, best practices, and patterns to ensure the integrity, reliability, and scalability of our data assets.
• Collaborate with cross-function teams, including software engineering, data science, and business domains to align data architecture initiatives with business requirements and technical objectives.
• Architect and implement data integration solutions, ETL pipelines, and data governance frameworks to ensure the accuracy, consistency, and security of data across all systems and processes.
• Design and implement master data management (MDM) strategies, data quality management processes, and metadata management solutions to enable data governance and compliance.
• Evaluate and recommend data technologies, tools, and platforms to optimize performance, cost, and scalability.
• Build strong partnership with data engineering to ensure proper alignment fostering a culture of innovation, collaboration, and continuous learning.

What you’ll need:

• Bachelor’s or master’s degree in computer science, engineering, or related field.
• 5 years’ experience in data architecture, database design, and data management.
• Experience in data modeling, database technologies, data warehousing, and ingestion frameworks.
• Experience with NoSQL, Kafka, Middleware, and cloud-based platforms (e.g., AWS, Snowflake)
• Experience designing and implementing callable, hig