Health Care Data Architect / Lead

Duties and Responsibilities

• Lead the activities related to the Conceptualization, Design, Development and Evaluation of Healthcare big data analytics solutions

• Leads and coordinate the technical and business discussions relative to future solution direction

• Able to lead meetings with customer teams / Sr. Mgmt. to gain approval on recommendations and implementation plan

• Collaborate in defining solution architecture for Master Data Management (MDM) & help set information architecture standards and methodologies

• Define and implement data quality processes and analytical production performance indicators and metrics

• Monitor Industry & Technological trends in Healthcare Analytics Space and support the evolution of the platform and solution offerings that can be positioned with customers

• Device Strategies to quickly develop solution / re-usable components to meet customer needs

• Own Project Scoping, Planning, Estimation and Participate in Team setup & Work allocation for successfully delivering the Program / Solution

• Responsible for design reviews & build consensus on areas for improvement.

• Responsible for communication of Program charter, milestones etc.

Key Skills

• Bachelor’s/Master’s degree is preferred in computer science or related field (such as computer engineering, software engineering, biomedical engineering, or mathematical sciences)

• ~ 5 - 7 years of industry experience in building Data Analytics solutions preferably in healthcare

• Strong verbal / communication, written & presentation skills

• Required Competencies in Leading, Mentoring teams in Developing Healthcare Analytical solutions

• Experience in Agile Software Development, programming and coding

• Preferred Technical Competencies: Expertise in development of Big data Analytics Solution using

  • Distributed computing, Hadoop cluster management, HDFS, MapReduce

  • Stream-processing solutions such as Storm or Spark

  • Data querying tools such as Pig, Impala and Hive, data integration

  • SQL & NoSQL Databases such as MongoDB, Cassandra, and HBase

  • Big data toolkits such as H2O, SparkML, and Mahout and Messaging systems such as Kafka and RabbitMQ

  • Proficient in Programming with R, Python, Ruby, C++, Perl, Java, SAS, SPSS.

  • Exposure & familiarity with ETL tools, data APIs, data modeling, Algorithms and data warehousing solutions

  • Exposure to Healthcare systems and data exchange mechanisms