Lead Data Architect

$125,634 - $175,888/Yr

Olympus - Center Valley, PA

posted 2 months ago

Full-time - Senior
Center Valley, PA
5,001-10,000 employees
Merchant Wholesalers, Durable Goods

About the position

Are you looking for a company that cares about people's lives and health, including yours? Let's inspire healthier lives, together. Olympus, a leading medical technology company, has focused on making people's lives better for over 100 years. Our Purpose is to make people's lives healthier, safer, and more fulfilling. As a Lead Data Architect, you will have the opportunity to innovate and develop the next generation of healthcare technology and platforms. Your work can help save lives and improve patient outcomes. Olympus is at the forefront of a new strategic initiative to become a digital leader in the healthcare industry. Join us in building our next generation digital platform, which integrates data and AI to streamline and automate medical workflows and transform the way healthcare professionals provide care. In this role, you will be responsible for designing, implementing, and optimizing data pipelines and architectures to support the scalable and efficient processing of large datasets in the Azure cloud environment. You will play a key role in developing strategies for data storage, retrieval, and analysis, ensuring high availability and performance of data-driven applications. Additionally, you will manage the data services activities and design data governance within the Olympus digital unit function, maintaining the highest levels of data competency, data policies, data usage, data quality, and reporting capabilities across the organization. Your work will be conducted in line with our Core Values which are: agility, empathy, long-term view, unity, and integrity. Olympus is an equal opportunities employer championing a culture of equality, diversity, and inclusion embedded throughout the organization and workforce.

Responsibilities

  • Drive the business objectives of the digital unit by ensuring best of class data management function that is adaptable and scalable with the growing business needs.
  • Develop robust, scalable data models and architectures to support the storage, processing, and analysis of large datasets in Azure.
  • Provide data governance guidelines involving proper data classification, data policies, data quality, and other activities around data and analytics functions.
  • Design and implement data pipelines that efficiently ingest, process, and distribute data across multiple Azure services.
  • Partner with business analysts and architects to develop technical architectures for strategic projects and initiatives.
  • Provide oversight, strategic thought leadership, and innovative solutions towards maturing a data strategy, architecture, and service capabilities.
  • Leverage advanced database systems including data warehouses, data marts, and models needed for business, financial and operational analysis and/or reporting with Microsoft Azure technologies.

Requirements

  • BS/BA degree, ideally in computer science, engineering, or a comparable background.
  • Minimum of 10 years of programming experience with Python.
  • Minimum of 6 years of experience working with Microsoft Azure related data technologies.
  • Expertise in data pipeline tools (e.g., Apache Airflow, DBT).
  • Minimum of 6 months experience in Microsoft Fabric One Lake.
  • Experience in working with Medallion architecture.
  • Experience with Security concepts like Managed Private Endpoints, Data Gateways, Sensitivity Labels etc.
  • Expertise in the design and implementation of enterprise data store, data warehouse, data governance, data quality management, real-time data ingestion, data modeling, and metadata management.
  • Proficiency in tools like Spark or DataBricks to handle big data.
  • Container management and orchestration experience with Kubernetes.

Nice-to-haves

  • Certification in Microsoft DP-600 is a big plus.

Benefits

  • Health insurance
  • Dental insurance
  • Tuition reimbursement
  • Adoption assistance
  • Parental leave
  • Employee assistance program
  • 401(k) matching
  • Opportunities for advancement
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