HOW YOU WILL MAKE HISTORY HERE…
As a Data Solutions Architect, you will play a key role in shaping and advancing our enterprise data platform strategy. You will design scalable, secure, and governed data solutions that enable analytics, reporting, and business decision-making across the organization. By establishing architectural standards, mentoring engineering teams, and driving best practices, you will help build a modern data ecosystem that supports current and future business needs.
WHAT YOU WILL DO…
- Design and implement enterprise data solutions leveraging Databricks, Azure, and modern cloud data technologies.
- Lead data engineering solution design utilizing Delta Lake and Medallion Architecture principles.
- Guide and mentor teams responsible for data modeling, ETL/ELT development, and data platform implementation.
- Define and implement scalable data integration patterns and data movement strategies.
- Establish, maintain, and evolve architecture standards, coding standards, and engineering best practices.
- Implement and enforce data security frameworks using Unity Catalog, role-based access controls (RBAC), data masking, row-level security, column-level security, and least-privilege access models.
- Ensure data quality, monitoring, auditing, lineage, and governance capabilities are implemented and maintained across data solutions.
- Optimize Apache Spark workloads, Delta tables, and SQL queries for performance, scalability, and cost efficiency.
- Review technical designs and provide guidance to data engineers and development teams.
- Create and maintain architecture documentation, technical standards, and reusable design patterns.
- Partner with stakeholders to ensure data solutions align with business objectives and enterprise architecture strategies.
WHO YOU WILL WORK WITH…
- Data Engineering teams responsible for building and maintaining data pipelines and data products.
- Analytics, Reporting, and Business Intelligence teams leveraging enterprise data assets.
- Enterprise Architecture and Technology leaders to align solutions with organizational standards.
- Data Governance and Security teams to ensure compliance, data protection, and governance requirements are met.
- Business stakeholders and product teams to understand data needs and deliver scalable solutions.
- Cross-functional technology teams supporting cloud infrastructure, DevOps, and application integrations.
WHAT YOU BRING TO THE TABLE… (MUST HAVE)
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- 8+ years of experience in Data Engineering, Data Architecture, or related disciplines.
- Strong hands-on experience with Databricks, Apache Spark, Delta Lake, and Unity Catalog.
- Experience working with Azure Data Lake, Azure Data Factory, and SQL-based data solutions.
- Deep understanding of Medallion Architecture, data warehousing concepts, and dimensional data modeling.
- Experience designing and implementing secure, governed enterprise data platforms.
- Knowledge of CI/CD practices, Git, automated testing frameworks, and Infrastructure as Code (IaC).
- Proven ability to troubleshoot, optimize, and scale large-volume data pipelines and data processing workloads.
- Strong communication, collaboration, and stakeholder management skills.
- Demonstrated ability to establish technical standards and mentor engineering teams.
IT WOULD BE GREAT IF YOU HAVE… (NICE TO HAVE)
- Azure and/or Databricks certifications.
- Experience with enterprise reporting and analytics platforms such as MicroStrategy and Power BI.
- Experience defining and implementing enterprise data architecture standards and governance frameworks.
- Experience supporting large-scale cloud modernization and data transformation initiatives.
- Familiarity with enterprise-wide data quality, metadata management, and data lineage solutions.
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