Tech Stack
ApacheAWSAzureCloudETLKafkaNoSQLPythonSparkSQL
About the role
- Transact Campus and CBORD partnership focused on integrated technology solutions for education, healthcare, and business campuses
- Lead design, implementation, and optimization of enterprise data architecture to support data-driven decision-making
- Develop and implement comprehensive data architectures, including data models, pipelines, and integration strategies
- Design and oversee implementation of data lakes, warehouses, and modern data stacks using tools like Databricks
- Establish and enforce data governance frameworks with focus on GDPR and data privacy (and HIPAA where applicable)
- Collaborate with clients, product, engineering, and business stakeholders to identify data needs and drive adoption
- Create detailed architectural blueprints, documentation, and standards for maintainability
- Lead cloud-based data solution integrations on Azure or AWS and optimize data storage and processing
- Evaluate emerging technologies, recommend improvements, and mentor junior architects and engineers
Requirements
- Bachelor's degree in Computer Science, Data Science, or a related field
- 8+ years of experience in data architecture and/or data engineering roles
- Strong hands-on experience with Databricks and Power BI
- Expertise in cloud platforms such as Azure or AWS
- Familiarity with data governance and compliance standards (e.g., GDPR, HIPAA)
- Deep understanding of modern data stack technologies including ETL/ELT, data modeling, and big data tools
- Excellent communication and interpersonal skills
- Proven experience managing data lakes and optimizing data workflows
- Preferred: Experience with Master Data Management (MDM) tools or Microsoft Fabric
- Preferred: Knowledge of SQL, NoSQL databases, Apache Spark, Kafka, ML with Python
- Preferred: Prior experience in regulated industries (finance, education, healthcare)
- Preferred: Certifications in cloud architecture or data management
- Preferred: Master's degree in Computer/Data Science