[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