Senior Data Architect Engineer (SaaS)

TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with our innovative technology. We believe in empowering our customers through inventive solutions and a commitment to excellence. Our young, rapidly growing team is looking for passionate professionals who thrive in a dynamic, innovative, and collaborative environment. **This role is fully remote, however you must reside in the US and be available on EST hours. Senior Data Architect/Engineer Summary of Role We are seeking an experienced Senior Data Engineer / Data Architect to lead the design, development, optimization, and evolution of our enterprise data platform. This is a hands-on senior individual contributor role responsible for architecting scalable data solutions, building robust data pipelines, optimizing analytical workloads, and ensuring the delivery of trusted, high-quality data across the organization. The successful candidate will combine strong technical expertise in modern data engineering practices with the ability to design and govern enterprise-scale data architectures. You will work closely with software engineering, product, analytics, and business stakeholders to deliver reliable, high-performance data solutions that support operational reporting, business intelligence, advanced analytics, and AI initiatives. Key Responsibilities Data Architecture & Platform Design • Design and evolve the organization's data architecture to support operational, analytical, and AI-driven workloads. • Define and implement scalable data warehouse, data lake, and lakehouse architectures. • Establish data modelling standards, governance practices, and architectural best practices. • Design data structures and integration patterns that support long-term scalability, performance, and maintainability. • Drive data platform modernization initiatives leveraging Azure cloud technologies. Data Engineering • Design, develop, and maintain scalable ETL/ELT pipelines that ingest, transform, validate, and deliver data from multiple internal and external systems. • Build robust data integration solutions using Azure data services and modern data engineering frameworks. • Implement monitoring, alerting, and data quality controls to ensure reliable data operations. • Automate data processing workflows and reduce operational overhead through engineering best practices. Performance & Optimization • Optimize SQL queries, data pipelines, and analytical workloads for performance, scalability, and cost efficiency.

• Analyze and improve large-scale datasets and reporting environments.
• Identify bottlenecks and implement solutions that improve system

responsiveness and data availability. • Partner with engineering teams to improve database design, indexing strategies, and query performance. Data Quality & Reconciliation • Establish data validation, reconciliation, and auditing processes to ensure trusted reporting outcomes. • Investigate and resolve complex data discrepancies across source systems and analytical platforms. • Develop repeatable controls and monitoring processes that improve confidence in business reporting. • Define and maintain data quality standards across the platform. Analytics Enablement • Design and support data models that power reporting and analytics solutions. • Collaborate with business stakeholders to understand analytical requirements and translate them into scalable data solutions. • Support Power BI and custom analytics platforms through semantic modelling, data optimization, and performance tuning. • Enable self-service analytics through well-designed and governed datasets. Required Qualifications • 7+ years of experience in Data Engineering, Data Architecture, or related disciplines. • Strong experience designing and implementing enterprise-scale data architectures. • Expert-level SQL skills with proven experience optimizing complex queries and large datasets. • Extensive experience building ETL/ELT solutions in cloud-based environments. • Strong understanding of data warehousing, dimensional modelling, and analytical data design. • Experience implementing data quality, governance, lineage, and reconciliation processes. • Strong analytical and problem-solving skills with the ability to diagnose complex data issues.

• Excellent written and verbal communication skills.
• Ability to work independently and collaborate effectively across technical

and non-technical teams. Technical Skills Required

• Azure SQL Database
• Azure Data Factory
• Azure Synapse Analytics and/or Azure Databricks
• SQL Server and advanced SQL optimization
• Data Warehouse and Lakehouse design
• ETL/ELT architecture and implementation
• Data modelling (Star Schema, Snowflake, Dimensional Modelling)
• Performance tuning and query optimization
• Data quality and reconciliation frameworks
• Power BI data modelling and performance optimization

Preferred

• Microsoft Fabric
• Azure Data Lake Storage
• Apache Spark
• Python
• CI/CD for data platforms
• Infrastructure as Code
• Real-time and streaming data architectures
• AI and machine learning data platform experience

Preferred Experience • Experience supporting SaaS platforms with large-scale operational and analytical datasets. • Experience working in healthcare, workforce management, scheduling, or other data-intensive industries. • Experience designing data platforms that support advanced analytics, forecasting, optimization, or AI initiatives. • Experience delivering enterprise reporting and business intelligence solutions. What Success Looks Like

• Reliable, scalable, and well-governed data platforms.
• Trusted reporting supported by strong data quality and reconciliation

processes. • High-performance analytical environments that scale with business growth. • Reduced operational overhead through automation and platform improvements.

• Data architectures that enable future analytics and AI initiatives.
• Strong collaboration with engineering, product, and business teams to

drive measurable business outcomes. Additional Information Job Type: Full-time, Exempt, Remote primarily East Coast time zone, Some Travel Required Compensation: Competitive including paid time off, medical benefits, and the potential for an annual performance bonus, and/or equity We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes customer success. We like to have fun together and support each other too! TeamBuilder