Mcbee Associates - Overland Park, KS

posted about 1 month ago

Full-time
Overland Park, KS
Professional, Scientific, and Technical Services

About the position

As a Data Architect-Cloud at Netsmart, you will play a pivotal role in creating and implementing blueprints for data management systems that integrate, centralize, protect, and maintain data sources. This position is essential for establishing best practices in data technologies and data warehousing, enabling the organization to collect and analyze large volumes of data effectively. You will be responsible for advancing efficiency optimization, predictive analytics, and business intelligence (BI) reporting tools, ensuring that the organization can leverage its data assets to drive decision-making and operational excellence. In this role, you will guide the organization in efficient data and resource management, focusing on best practices with cloud-based big data, data warehouse, and reporting platforms and services. You will establish best practices for data-related technical infrastructure, emphasizing scalability, security, performance, data recovery, and reliability. Your expertise will be crucial in designing and developing business intelligence solutions that meet the needs of various business units. You will also be tasked with designing and documenting data structures/models and data flows, interacting with various business units and technical teams to gather requirements. A key responsibility will be to review and optimize current ETL processes, ensuring that data quality and accuracy are maintained across all data systems and sources. This position may require availability outside of standard business hours as part of a rotational on-call schedule, highlighting the importance of flexibility and commitment to data integrity.

Responsibilities

  • Establish best practices in data technologies and data warehousing to collect and analyze large volumes of data, advancing efficiency optimization, predictive analytics, and BI reporting tools.
  • Guide the organization in efficient data and resource management, best practices with Cloud-based big data, and data warehouse and reporting platforms and services.
  • Establish best practices for data-related technical infrastructure including scalability, security, performance, data recovery, reliability.
  • Design and develop Business Intelligence solutions.
  • Design and document data structures/models and data flows.
  • Interact with various business units and technical teams to gather requirements.
  • Review and optimize current ETL processes.
  • Accountable to ensure data quality and accuracy of data systems and sources.

Requirements

  • Bachelor's degree in Computer Science, Information Management or related field
  • Experience with languages such as Java, Python, SQL, XML, Hive, Pig, and Spark, Kafka.
  • Experience with Big Data technologies such as Hadoop, Kubernetes, Pig, HBase, Hive, Spark, Kafka
  • Experience with SQL and NoSQL database systems
  • Experience with data warehousing solutions
  • In depth knowledge of database architecture
  • Extensive experience with Extraction, Transformation and Load (ETL) tools, spreadsheets and BI tools
  • Extensive data modeling and system development experience
  • Analytical problem solving
  • Effective Communication

Nice-to-haves

  • Work experience in the healthcare industry including clinical, financial and operational data
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