Lead Data Architect

$125,634 - $175,888/Yr

Olympus - Center Valley, PA

posted 5 months ago

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

About the position

At Olympus, we are seeking a Lead Data Architect who is passionate about innovating and developing the next generation of healthcare technology and platforms. This role is pivotal in our strategic initiative to become a digital leader in the healthcare industry. As a Lead Data Architect, you will be responsible for designing, implementing, and optimizing data pipelines and architectures that support the scalable and efficient processing of large datasets in the Azure cloud environment. Your work will directly contribute to improving patient outcomes and saving lives through advanced medical technologies. In this position, you will play a key role in developing strategies for data storage, retrieval, and analysis, ensuring high availability and performance of data-driven applications. You will manage data services activities and design data governance within the Olympus digital unit function. This includes maintaining the highest levels of data competency, data policies, data usage, data quality, and reporting capabilities across the organization. Your contributions will be aligned with our core values of integrity, empathy, agility, unity, and a long-term view. You will drive the business objectives of the digital unit by ensuring a best-in-class data management function that is adaptable and scalable with the growing business needs. This involves developing robust, scalable data models and architectures to support the storage, processing, and analysis of large datasets in Azure. You will also provide data governance guidelines involving proper data classification, data policies, data quality, and other activities around data and analytics functions. Your expertise will be crucial in designing and implementing data pipelines that efficiently ingest, process, and distribute data across multiple Azure services, ensuring data quality and integrating real-time data processing solutions. Additionally, you will partner with business analysts and architects to develop technical architectures for strategic projects and initiatives, providing oversight, strategic thought leadership, and innovative solutions towards maturing a data strategy, architecture, and service capabilities. Leveraging advanced database systems, you will support business, financial, and operational analysis and reporting with Microsoft Azure technologies.

Responsibilities

  • Design and implement data pipelines that efficiently ingest, process, and distribute data across multiple Azure services.
  • 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.
  • 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

  • 401(k) matching
  • Adoption assistance
  • Dental insurance
  • Employee assistance program
  • Health insurance
  • Opportunities for advancement
  • Parental leave
  • Comprehensive Medical, Dental, Vision coverage effective on start date
  • 24/7 Employee Assistance Program
  • Free virtual live and on-demand wellness classes
  • Work-life balance supportive culture with hybrid and remote roles
  • 12 Paid Holidays
  • Educational Assistance
  • Volunteering and charitable donation match programs
  • Diversity & Inclusion Programs including Colleague Affinity Networks
  • On-Site Child Daycare, Café, Fitness Center
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