Solventum

Spec Database Administrator

Solventum

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $137,439 - $167,981 per year

Job Level

SeniorLead

Tech Stack

Amazon RedshiftApacheAWSCloudDockerDynamoDBGraphQLKafkaKubernetesNoSQLPostgresPySparkPythonScalaSparkSQL

About the role

  • Design and build scalable, efficient, and fault-tolerant data operations with structured and unstructured data systems
  • Develop, Build and maintain AWS data platform services such as S3, RDS, Aurora, Redshift, PostgreSQL, DynamoDB using cloud deployment pipeline
  • Develop and maintain robust data pipelines for ingesting, transforming, and distributing data streams
  • Partner with senior technical leads, analysts, engineers, and scientists to implement scalable data initiatives using AWS cloud services
  • Implement advanced data architectures for accelerated solution design, including data integration, modeling, governance, and applications
  • Champion best practices in data engineering standards
  • Mentor and guide internal teams on database standards, pipeline development, and efficient data consumption
  • Implement and maintain database security measures, including user access controls and data encryption
  • Manage healthcare data and maintain HIPAA, SOC2, FedRamp, StateRAMP data security controls
  • Collaborate with SaaS application teams to build robust and scalable data solutions used by healthcare providers
  • Travel to a designated company location for on-site onboarding during initial days of employment (company coordinated and paid)

Requirements

  • Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution
  • Minimum 8 years of solid experience deploying and managing cloud data platforms on AWS
  • Advanced proficiency in SQL
  • Deep experience with AWS S3, AWS RDS, Aurora PostgreSQL, and MSSQL
  • Proficiency with both SQL and NoSQL databases (e.g., PostgreSQL, Redshift, DynamoDB)
  • Experience in cloud-native architectures and distributed computing with AWS tools like Glue, and EMR
  • Expertise in Python, PySpark, Scala, and advanced SQL techniques
  • Familiarity with GraphQL
  • Experience with Docker, Kubernetes, and microservice-based Data API development
  • Experience with stream processing tools like Amazon Kinesis, Apache Spark, Storm, or Kafka
  • Agile development experience; proficiency with tools like JIRA and Confluence
  • Strong collaboration and communication skills
  • AWS professional certificate(s)
  • Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status)
  • May include up to 15% domestic/international travel