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

1. Job Type: Full-time, Exempt, Remote primarily East Coast time zone, Some Travel Required
2. Compensation: Competitive including paid time off, medical benefits, and the potential for an annual performance bonus, and/or equity
3. 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!