Principal Data Architect-Remote, USA

Compensation:  $156,000-$180,000 per year. You are eligible to a Short-Term Incentive Plan with the target at 15% of your annual earnings, terms and conditions apply.

Principal Data Architect- Remote, USA

The Principal Data Architect is responsible for providing strategic leadership and technical direction in designing, implementing, and maintaining Ambry's enterprise data architecture and data management solutions. This role oversees the development of the company's data infrastructure, including data warehouses, data lakes, streaming platforms, and data governance frameworks. The Principal Data Architect leads a team of data engineers, database administrators, and data analysts, fostering collaboration, innovation, and best practices across the organization.

Essential Functions

• Develop and maintain the overall data architecture strategy, roadmap, and implementation plans to support the company's data-driven initiatives and business objectives.
• Design and implement scalable, secure, and high-performance data architectures, including data warehouses, data lakes, and data pipelines, leveraging both on-premises and cloud technologies.
• Establish data governance policies, standards, and best practices for data management, data quality, data security, and data privacy across the organization.
• Lead the development and implementation of real-time data streaming solutions, including event-driven architectures, data ingestion, transformation, and consumption using technologies like Apache Kafka, Apache Flink, and AWS Managed Streaming for Kafka (MSK).
• Oversee the creation and maintenance of Business Intelligence (BI) platforms, data visualization tools, and self-service analytics capabilities to enable data-driven decision-making across the organization.
• Collaborate with cross-functional teams, including software engineers, data scientists, and business stakeholders, to understand data requirements, define data models, and provide technical guidance and mentorship.
• Lead and manage a team of data engineers, database administrators, and data analysts, fostering their professional growth, promoting best practices, and ensuring adherence to organizational standards and processes.
• Stay up-to-date with emerging technologies, industry trends, and best practices in data architecture, data engineering, and data management, and drive the adoption of new technologies and approaches within the organization.
• Ensure compliance with relevant regulations, such as HIPAA, and industry standards for data management and privacy.
• Participate in the review and approval of data architecture designs, technical specifications, and project plans to ensure alignment with organizational goals and best practices.
• Other duties as assigned

Qualifications

• Bachelor's or master’s degree in computer science, Information Systems, or a related field, or equivalent professional experience.
• Minimum of 8-10 years of experience in data architecture, data engineering, and data management, with a strong background in designing and implementing enterprise-level data solutions.
• Proven experience in leading and managing teams of data professionals, including data engineers, database administrators, and data analysts.
• Extensive knowledge of data warehousing, data lake architectures, data modeling, and data integration techniques, including ETL/ELT processes and tools.
• Strong proficiency in data streaming technologies, such as Apache Kafka, Apache Flink, and AWS Managed Streaming for Kafka (MSK).
• Experience with cloud platforms and services, such as AWS, Azure, or GCP, for data management and analytics solutions.
• Familiarity with data governance principles, data quality management, and data security best practices.
• Excellent problem-solving, analytical, and communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Experience in an Agile or Scrum development environment is preferred.
• Knowledge of genomics, healthcare data, or bioinformatics is a plus.
• Experience with Change Data Capture (CDC) techniques and tools for data replication and synchronization.
• Hands-on experience with AWS services like AWS Glue, Amazon Elasticsearch Service, Amazon Redshift, and data queuing systems like Amazon MQ (RabbitMQ) or Amazon SQS.
• Experience with managing and securing Protected Health Information (PHI) and other sensitive data in compliance with regulations like HIPAA.
• Knowledge of distributed systems architectures, including multi-region and cross-account infrastructure designs.
• Experience with caching technologies like Redis for improving application pe