Provectus It - Orlando, FL

posted 2 months ago

Full-time
Orlando, FL
Professional, Scientific, and Technical Services

About the position

Provectus is seeking a Data Solutions Architect to join our innovative team. In this role, you will be instrumental in helping companies adopt AI technologies to transform their operations, enhance their competitive edge, and drive significant value. Our company specializes in artificial intelligence (AI) and machine learning (ML) technologies, cloud services, and data engineering. We pride ourselves on our ability to innovate and push the boundaries of what is possible in the tech landscape. As a Data Solutions Architect, you will work closely with clients to gain a deep understanding of their existing IT environments, applications, business requirements, and digital transformation goals. This role requires a strong technical background, particularly in AWS, Docker, Kafka, Redshift, and CloudFormation, as well as knowledge in the Bioinformatics and Genomics domains. You will be responsible for collecting and managing large volumes of varied data sets, defining data models that integrate disparate data across the organization, and designing, implementing, and maintaining ETL pipelines. The ideal candidate will possess advanced soft skills, a high level of responsibility, and a proactive approach to problem-solving. You will play a key role in ensuring that our clients can leverage data effectively to meet their strategic objectives. We are excited to welcome a new member to our team who is passionate about technology and eager to make a difference in the field of data solutions.

Responsibilities

  • Collaborate closely with a client to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals.
  • Collect and manage large volumes of varied data sets.
  • Define data models that integrate disparate data across the organization.
  • Design, implement, and maintain ETL pipelines.

Requirements

  • Certificates: AWS SA Associate, or AWS Data Engineering Specialty.
  • Experience with AWS, Docker, Dynamo, S3, API Gateway, Step Functions, Lambda, ECS.
  • Strong experience with Redshift (performance optimization).
  • Solid experience with CloudFormation and Kafka.
  • Bioinformatics & Genomics domain knowledge, or at least chemistry (crucial).
  • Very advanced soft skills and responsibility level.
  • Very proactive.

Nice-to-haves

  • Knowledge of Snowflake.
  • Experience with AWS Omics.
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