Solution Architect - Data

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Join to apply for the Solution Architect - Data role at Keyloop

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.

We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.

We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?

Role Summary

As a Data Architect, you’ll be a critical leader in defining and delivering Keyloop’s enterprise data strategy. You will guide architecture decisions, ensure best-in-class data governance, and provide the technical blueprint that empowers the organization to become truly data-driven.

Main Duties/Responsibilities

• Lead the design and evolution of Keyloop’s enterprise data architecture, ensuring alignment with business strategies and technology platforms
• Define data principles, governance frameworks, and architectural standards for enterprise data, analytics, and integration platforms
• Own the data strategy for structured and unstructured data across systems—including CRM, ERP, DMS, and customer-facing platforms
• Design data models, data flow architectures, and system integrations to support analytics, operational reporting, AI/ML, and real-time decision-making
• Collaborate with data engineers, analysts, solution architects, and business stakeholders to define and document data needs and data platform capabilities
• Drive implementation of modern data architecture patterns (e.g., data lakes, lake houses, data mesh, real-time streaming)
• Establish data quality frameworks and lead data profiling, cleansing, and lineage tracking across systems
• Work with Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards
• Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI)
• Oversee data integration strategy across the enterprise—including ETL/ELT pipelines, APIs, and event-driven data streaming
• Contribute to the development of a Data Center of Excellence (CoE) by sharing knowledge, reusable components, and data standards
• Provide technical leadership on data-related projects and act as SME for enterprise data architecture
• Advocate for data literacy and promote the value of data across business and technology teams
• Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices
• Maintain comprehensive architecture documentation for metadata, data lineage, and data governance

• Extensive experience architecting enterprise data solutions and designing scalable data platforms
• Proven expertise in data modeling (conceptual, logical, physical), metadata management, and master data management (MDM)
• Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi)
• Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms
• Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP Big Query)
• Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices
• Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001)
• Excellent communication and stakeholder management skills; able to translate complex data concepts into business-friendly language
• Ability to lead technical discussions and influence data-driven decision making across teams
• Certifications such as Microsoft Certified:
  Azure Data Engineer Associate, Snowflake Architect, or CDMP are highly desirable