Lead the design, development, and optimization of data platforms and advanced analytics applications.
Collaborate closely with engineering, product, operations, and customer success teams to define architectural direction.
Drive best practices and guide cross-functional efforts to build scalable, reliable, and high-performance data platforms.
Power advanced analytics, machine learning, and mission-critical business operations across the organization.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field highly desirable.
8+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications.
5+ years of experience architecting, implementing, and maintaining reporting and analytics tools (e.g., Looker, Power BI, Tableau), with knowledge of data visualization best practices.
3+ years of experience working in highly regulated industries, with a preference for healthcare or homecare.
Proven expertise in Python, SQL, query and database optimization, data pipelines, data modeling, data governance, data catalog/data lineage management, and privacy/security best practices.
Deep experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc.).
Demonstrated ability to lead large-scale data initiatives and influence architectural decisions across teams.
Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders.
Experience designing data platforms that support ML/AI workflows preferred.
Hands-on experience in AI/ML, LLMs, agentic development, and AI assistant tools preferred.
Experience in healthcare or homecare technology (EHR, HL7/FHIR) and product development preferred.
Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata pipelinesdata modelingdata governancedata catalogdata lineage managementquery optimizationcloud platformsdata warehousing

Soft Skills

communication skillscollaboration skillsleadershipinfluencing architectural decisionstranslating technical concepts