Data Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop enterprise data solutions utilizing Databricks, Azure, and contemporary cloud data technologies.

• Lead the design of data engineering solutions employing Delta Lake and Medallion Architecture principles.

• Provide guidance and mentorship to teams involved in data modeling, ETL/ELT development, and data platform deployment.

• Define and execute scalable data integration patterns and strategies for data movement.

• Establish, uphold, and advance architecture standards, coding practices, and engineering best practices.

• Implement and enforce data security frameworks utilizing Unity Catalog, RBAC, data masking, row-level security, column-level security, and least-privilege access models.

• Ensure data quality, monitoring, auditing, lineage, and governance capabilities throughout data solutions.

• Optimize Apache Spark workloads, Delta tables, and SQL queries for performance, scalability, and cost-effectiveness.

• Review technical designs and mentor data engineers and development teams.

• Create and maintain architecture documentation, technical standards, and reusable design patterns.

• Collaborate with stakeholders to align data solutions with business goals and enterprise architecture strategies.

• Work alongside Data Engineering, Analytics, Reporting, Business Intelligence, Enterprise Architecture, Technology, Data Governance, Security, business, product, cloud infrastructure, DevOps, and application integration teams.

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

• Over 8 years of experience in Data Engineering, Data Architecture, or related fields.

• Strong hands-on experience with Databricks, Apache Spark, Delta Lake, and Unity Catalog.

• Familiarity with Azure Data Lake, Azure Data Factory, and SQL-based data solutions.

• In-depth knowledge of Medallion Architecture, data warehousing concepts, and dimensional data modeling.

• Experience in designing and implementing secure, governed enterprise data platforms.

• Understanding of CI/CD practices, Git, automated testing frameworks, and Infrastructure as Code (IaC).

• Proven capability to troubleshoot, optimize, and scale large-volume data pipelines and processing workloads.

• Excellent communication, collaboration, and stakeholder management abilities.

• Demonstrated success in establishing technical standards and mentoring engineering teams.

• Azure and/or Databricks certifications are advantageous.

• Experience with MicroStrategy and Power BI is a plus.

• Familiarity with defining enterprise data architecture standards and governance frameworks is a plus.

• Experience in supporting large-scale cloud modernization and data transformation projects is advantageous.

• Familiarity with enterprise-wide data quality, metadata management, and data lineage solutions is a plus.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Short- and long-term disability insurance

• AD&D insurance

• Life insurance for individuals, families, and domestic partners

• Matching 401(k) plan with enrollment on the first day of employment and immediate vesting

• Unlimited sick time

• Paid time off

• Holiday pay

• Free access to the fitness center if in WHQ

• Access to on-site day care operated by Bright Horizons

• Company store

• Campbell’s Cares program matches employee donations and/or volunteer activity up to $1,500 annually

• Employee Resource Groups (ERGs)

• Competitive health, dental, 401k and wellness benefits beginning on the first day of employment