Note: The job is a remote job and is open to candidates in USA. Planet DDS is on a mission to revolutionize dental software with their modern, AI-powered technology. The Data Engineer IV will lead the design and development of the company's data and analytics platform, focusing on building scalable and reliable solutions that drive smarter decision-making across the organization.
Responsibilities
- Architect and build AI-ready data pipelines and ELT workflows with automation at the core, enabling real-time analytics, ML model serving, and generative AI applications across product and operations
- Lead the design of a modern data platform built for AI workloads, including vector stores, feature stores, and infrastructure that supports LLM integration and AI-powered analytics
- Partner with Product, Engineering, and Data Science teams to define data models and ensure high-quality, reliable data delivery across the organization
- Define and enforce data and software engineering best practices, including version control, data quality standards, documentation, and testing frameworks
- Mentor and coach junior and mid-level data engineers, fostering a culture of technical excellence and continuous growth
- Evaluate, adopt, and champion new data technologies and frameworks to drive platform modernization and efficiency
- Collaborate with senior leadership to define the long-term data strategy and roadmap aligned with company objectives
- Lead complex, cross-functional data initiatives from scoping through delivery, ensuring stakeholder alignment and on-time execution
- Optimize data infrastructure for performance, cost efficiency, and reliability at scale
- Ensure data security, compliance, and governance across the data platform, including adherence to HIPAA and other applicable regulations
- Champion AI tooling adoption across the data team, including AI-assisted development, automated data quality monitoring, anomaly detection, and intelligent pipeline observability
- Design and maintain data products that serve AI/ML models in production, including feature engineering pipelines, model input/output logging, and feedback loop infrastructure
Skills
- 8-11+ years of experience in data engineering, with demonstrated progression to senior or staff-level responsibilities
- Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java)
- Deep experience designing and building data pipelines using tools such as Apache Spark, Airflow, dbt, or equivalent
- Proven ability to design and implement cloud-based data platforms (AWS, Azure, or GCP), including data lake and warehouse solutions (Databricks, Snowflake, Redshift, BigQuery, or similar) and AI/ML platforms
- Strong understanding of data modeling, schema design, and database performance optimization for large-scale datasets
- Experience with real-time and streaming data architectures (Kafka, Kinesis, or equivalent)
- Hands-on experience integrating AI/ML workflows into data platforms, including feature stores, vector databases, or LLM-adjacent data pipelines (e.g., RAG systems, embedding pipelines)
- Familiarity with AI development tooling and a demonstrated habit of using AI to accelerate engineering work, code review, documentation, and data modeling
- Demonstrated ability to lead technical projects and influence architectural decisions across teams and functions
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
- Experience with data governance, data quality frameworks, and compliance requirements; familiarity with HIPAA is strongly preferred
Benefits
- Medical, dental and vision insurance
- Health Savings Account
- Flexible Spending Accounts
- Telehealth
- 401(k) and 401(k) match
- Life and AD&D insurance
- Short-Term and Long-Term Disability
- FTO or Vacation
- Sick Time
- Employee Well-Being program
- 11 paid holidays
- Volunteer Time Off
- Employee Referral program
- Additional perk and voluntary benefit programs
Company Overview
Company H1B Sponsorship