AssistRx
Healthcare
SeniorManager,DataEngineering
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“Senior Manager, Data Engineering at AssistRx. Skills: Data Engineering, Data Architecture, Team Leadership, Cloud Platforms. Lead a team of data engineers. Design scalable data pipelines”
What You'll Achieve.
Deliver reliable data solutions; Deliver high-quality data solutions; Deliver compliant data solutions
Industry & Context.
Remove blockers; Manage risks; Manage dependencies; Escalate issues; Resolve performance issues; Resolve reliability issues; Resolve cost-efficiency issues
Pre-employment background check
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 8–12+ years of experience in data engineering, 2+ years leading or managing engineers, Advanced proficiency in SQL, Advanced proficiency in data modeling, Experience with ETL/ELT tools, Hands-on experience with cloud data platforms, Proven track record delivering large-scale data warehouses, Proven track record delivering data lakes, Proven track record delivering BI solutions, Experience working with healthcare data, Demonstrated people leadership skills, Demonstrated project delivery skills, Demonstrated stakeholder management skills
Nice to Have
Advanced degree a plus, Experience with healthcare data, including PHI/PII, preferred, Familiarity with big data technologies
What You'll Do.
Lead a team of data engineers
Design scalable data pipelines
Build scalable data pipelines
Operate scalable data pipelines
Own delivery across client implementations
Own delivery across internal data programs
Translate strategic priorities into roadmaps
Deliver compliant data solutions
Ensure technical health of data platform
Mentor data engineers
Develop data engineers
Set clear goals for team
Set expectations for team
Set growth plans for team
Conduct performance reviews
Provide ongoing coaching
Support career development
Manage team resourcing
Manage team capacity planning
Manage team workload balancing
Foster engineering culture
Own end-to-end delivery
Ensure quality of delivery
Ensure timeliness of delivery
Align delivery with business goals
Plan team workstreams
Prioritize team workstreams
Track team workstreams
Escalate issues appropriately
Partner with project managers
Set realistic timelines
Set realistic commitments
Provide technical direction
Guide data architecture
Guide data warehouses
Guide data vault designs
Ensure adoption of engineering best practices
Make build-versus-buy recommendations
Make tooling recommendations
Ensure data quality frameworks implemented
Ensure data validation implemented
Ensure data monitoring implemented
Uphold data integrity
Uphold data compliance
Establish standards for data flows
Establish standards for architecture
Establish standards for transformations
Drive resolution of performance issues
Drive resolution of reliability issues
Drive resolution of cost-efficiency issues
Partner with BI teams
Partner with analytics teams
Partner with product teams
Partner with business teams
Align data solutions with reporting needs
Align data solutions with consumption needs
Communicate progress to stakeholders
Communicate risks to stakeholders
Communicate technical concepts to stakeholders
Contribute to roadmap planning
Contribute to prioritization of data initiatives
Identify process improvements
Implement process improvements
Identify automation improvements
Implement automation improvements
Identify operational efficiency improvements
Implement operational efficiency improvements
Evaluate emerging tools
Evaluate emerging technologies
Evaluate emerging frameworks
Advance team capability
Stay current with industry trends
Perform other related duties
How You'll Work.
Team & Collaboration
Partnering with product; Partnering with analytics; Partnering with engineering; Partnering with business stakeholders; Partner with BI teams; Partner with analytics teams; Partner with product teams; Partner with business teams; Cross-functional teams
Communication Scope
Communicate progress; Communicate risks; Communicate technical concepts
Process & Methodology
Roadmap planning, Prioritization, Risk management, Dependency management, Capacity planning, Workload balancing
Full Job Description
The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx’s data-driven initiatives. This role blends hands-on technical leadership with people management, owning delivery across multiple concurrent client implementations and internal data programs. Partnering closely with product, analytics, engineering, and business stakeholders, the Senior Manager translates strategic priorities into executable engineering roadmaps, develops talent, and ensures the team consistently delivers reliable, high-quality, and compliant data solutions. This role is accountable for both the technical health of the data platform and the growth and performance of the engineering team. **Team Leadership & People Management** • Lead, mentor, and develop a team of data engineers, setting clear goals, expectations, and growth plans. • Conduct performance reviews, provide ongoing coaching, and support career development across the team. • Manage resourcing, capacity planning, and workload balancing across multiple projects and clients. • Foster a collaborative, inclusive, and high-performing engineering culture. **Delivery & Execution Management** • Own end-to-end delivery of data engineering initiatives, ensuring quality, timeliness, and alignment with business goals. • Plan, prioritize, and track team workstreams across client onboarding, migrations, and platform enhancements. • Remove blockers, manage risks and dependencies, and escalate issues appropriately to leadership. • Partner with project and program managers to set realistic timelines and commitments. **Technical Oversight & Architecture** • Provide technical direction for ETL/ELT development using Azure Data Factory, dbt, Snowflake, Salesforce, and related platforms. • Review and guide data architecture, models, warehouses, data lakes, and data vault designs for scalability and maintainability. •
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