Note: The job is a remote job and is open to candidates in USA. TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with innovative technology. They are seeking an experienced Senior Data Engineer / Data Architect to lead the design and development of their enterprise data platform, ensuring the delivery of high-quality data solutions that support operational reporting and advanced analytics.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- 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
- 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
- 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
- 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
Benefits
- Paid time off
- Medical benefits
- The potential for an annual performance bonus
- Equity
Company Overview
Empowering healthcare to build the right team for tomorrow, today. It was founded in 2021, and is headquartered in Newtown, Connecticut, USA, with a workforce of 11-50 employees. Its website is http://www.teambuilder.io.