Platform Architect

3 weeks ago

Cleveland, United States Tredence Inc. Full time

About Tredence:

Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South-East Asia.


Primary Roles and Responsibilities:

Cloud Architecture:

  • years of experience in IT infrastructure, with at least 3-4 years in cloud architecture and hands-on provisioning of modern Data platforms like Databricks on AWS cloud.
  • Databricks platform build and administration experience, understanding Databricks Data & AI platform and Delta Lake architecture.
  • in provisioning infrastructure on the AWS cloud, manually and through automation (Terraform/CloudFormation).


Network and Infrastructure Design:

  • the overall VPC environment (subnets, security groups, instances, availability zones, etc.).
  • the AWS network architecture, including VPN connectivity between regions and subnets.
  • Infrastructure as Code to automate Databricks environment deployments.


High Availability and Troubleshooting:

  • Databricks HA and DR strategies.
  • Databricks performance, connectivity, and security issues.


Collaboration and Compliance:

  • with development teams to meet product requirements.
  • and document operational and security standards.
  • up data storage, archival policies, and encryption.


Technical Skills:

  • understanding of key infrastructure components (Compute, Networking, Storage).
  • in designing and implementing application/database migration and disaster recovery strategies.
  • with AWS well-architected framework and best practices.


Databricks and Security:

  • in Databricks platform on AWS.
  • existing security frameworks and design new frameworks in cloud infrastructure as per standards, governance, and control practices.
  • up authentication and authorization protocols for cloud-based applications.


Data Engineering and Compliance:

  • data engineering knowledge, moving data between different sources and Databricks.
  • with compliance audits, reporting metrics, and managing security incidents.


DevOps and Automation:

  • Jenkins/CircleCI/GitHub Actions or any CI/CD tool.
  • Databricks deployments using Infrastructure as Code.


Responsibilities and Qualifications:

  • have 12+ years in IT and 3-4 years of cloud architecture experience.
  • Databricks platform experience, administering and understanding its architecture.
  • have expertise in deploying AWS services & Databricks features using Infrastructure as Code.
  • with data security and access controls.
  • in Agile development methodologies.

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