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.

Required

Technical Skills

 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!

Senior Data Architect Engineer (SaaS)