[Remote] Senior Manger, Data Engineering
Note: The job is a remote job and is open to candidates in USA. AssistRx is a company focused on data-driven initiatives, and they are seeking a Senior Manager, Data Engineering to lead a team of data engineers. This role involves designing and operating scalable data pipelines while managing team performance and ensuring the delivery of high-quality data solutions.
Responsibilities
- 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
- 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
- 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
- Ensure adoption of engineering best practices for integration, transformation, testing, and deployment
- Make build-versus-buy and tooling recommendations in partnership with the Director
- Ensure robust data quality frameworks, validation, and monitoring are implemented across pipelines
- Uphold data accuracy, integrity, security, and compliance, including PHI/PII considerations
- Establish standards and documentation for data flows, architecture, and transformations
- Drive resolution of performance, reliability, and cost-efficiency issues across the platform
- Partner with BI, analytics, product, and business teams to align data solutions with reporting and consumption needs
- Communicate progress, risks, and technical concepts clearly to both technical and non-technical stakeholders
- Contribute to roadmap planning and prioritization of data initiatives across the organization
- Identify and implement improvements to engineering processes, automation, and operational efficiency
- Evaluate emerging tools, technologies, and frameworks to advance team capability
- Stay current with industry trends in data engineering, cloud platforms, and big data technologies
- Perform other related duties as assigned by leadership
- Directly manages a team of data engineers, including hiring, performance management, and professional development
- Provides technical and career mentorship and leads cross-functional engineering workstreams
Skills
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field required; advanced degree a plus
- 8–12+ years of experience in data engineering or data architecture, including 2+ years leading or managing engineers
- Advanced proficiency in SQL and data modeling, with strong architectural judgment
- Strong experience with ETL/ELT tools (e.g., Azure Data Factory, dbt, Informatica, Talend)
- Hands-on experience with cloud data platforms (e.g., Snowflake, Azure, AWS)
- Proven track record delivering large-scale data warehouses, data lakes, and BI solutions
- Familiarity with big data technologies (e.g., Spark, Hadoop ecosystem)
- Demonstrated people leadership, project delivery, and stakeholder management skills
- Excellent communication, collaboration, and organizational skills
- Experience working with healthcare data, including PHI/PII, preferred
Benefits
- Supportive, progressive, fast-paced environment
- Competitive pay structure
- Matching 401(k) with immediate vesting
- Medical, dental, vision, life, & short-term disability insurance
Company Overview