Data Architect

Job Description

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and grow professionally while contributing to the design and evolution of enterprise data ecosystems.

You thrive in complex data environments where you can combine technical expertise, strategic thinking, and collaboration to design scalable data architectures aligned with both business and technology needs.

You Bring to Applaudo the Following Competencies:

• Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related field is desired, or equivalent professional experience.
• 6+ years of experience in Data Architecture, Data Engineering, or Enterprise Platform Design.
• Strong experience designing and implementing data architecture solutions aligned with business and technical requirements.
• Strong expertise in data modeling, including Star Schema and Snowflake Schema.
• Advanced proficiency in SQL and Python, with experience applying them to data architecture and engineering solutions.
• Strong hands-on experience with Spark and dbt for scalable data processing and transformation.
• Strong experience designing and working with Snowflake and BigQuery cloud data platforms.
• Strong experience working with cloud platforms such as AWS, GCP, and Azure.
• Experience with metadata management and enterprise data architecture practices.
• Experience leading and supporting data governance initiatives.
• Strong strategic thinking and ability to translate business requirements into scalable and sustainable data solutions.
• Strong documentation skills with a focus on maintaining clear and consistent data architecture standards.
• Strong stakeholder management and communication skills across technical and business teams.
• Fluent English proficiency.

Preferred Certifications:

• TOGAF.
• AWS Data Architect.
• Google Cloud Data Engineer.
• CDMP (Certified Data Management Professional).

You Will Be Accountable for the Following Responsibilities:

• Define and govern enterprise data architecture, ensuring data platforms, models, and data flows are scalable, secure, and aligned with business strategy.
• Design and evolve data ecosystems that support analytics, AI, and operational systems.
• Develop and maintain data models, including Star Schema and Snowflake Schema, to support business and technical requirements.
• Establish and maintain data architecture standards, principles, and guidelines across the organization.
• Lead and support data governance practices to promote consistent, reliable, and well-managed data assets.
• Define and oversee metadata management practices to improve data visibility, consistency, and usability.
• Collaborate with technical and business stakeholders to translate requirements into scalable data architecture solutions.
• Evaluate and recommend data platforms and technologies based on scalability, performance, and business requirements.
• Ensure data architecture decisions support data quality, compliance, security, and long-term maintainability.
• Document data architecture, models, standards, and architectural decisions to facilitate knowledge sharing and consistency across teams.
• Provide architectural guidance and technical direction to data engineering and technical teams.
• Support cross-functional decision-making by ensuring data architecture remains aligned with organizational objectives.

Qualifications

• 6+ years of experience in Data Architecture, Data Engineering, or Enterprise Platform Design.
• Strong experience with data modeling, including Star Schema and Snowflake Schema.
• Strong hands-on experience with SQL, Python, Spark, dbt, Snowflake, and BigQuery.
• Experience designing enterprise data architectures and supporting data governance initiatives.
• Fluent English proficiency.

Additional Information

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.