Consultant, Databricks Platform Engineer

2 weeks ago

Aurora, United States Expleo Full time

Overview:

Trissential is a trusted partner for end-to-end quality services and management consulting. As a part of our parent company Expleo, we have a footprint in 30+ countries. Our Mission is to have a positive impact on every person who interacts with Trissential. Clients love us because we are service focused. Employees love us because they are valued and cared for. Trissential is seeking a

Consultant, Databricks Platform Engineer

to join our client team in Denver, CO. Must be able to work a flex/hybrid schedule with 3 days in the office each week (Tuesday, Wednesday, and Thursday). As a Databricks Platform Engineer, your role involves performing Databricks platform administration and deploying applications on the AWS Databricks platform. You'll handle administration, configuration, and optimization to support data analytics, machine learning, and data engineering activities. Collaborating with data engineers, data scientists, and stakeholders, you'll ensure the platform aligns with requirements while maintaining security and performance standards. This role is open only to candidates authorized to work and reside in the US. Responsibilities: Configure, deploy and maintain Databricks clusters and workspaces Use Terraform to provision and deploy Databricks clusters, workspaces, and associated AWS resources. Ensure consistency and repeatability by treating infrastructure as code Monitor cluster performance, resource utilization, and troubleshoot issues to ensure optimal performance Implement and manage access controls and security policies to protect sensitive data Manage platform feature and software releases and updates Provide technical support to Databricks users, including troubleshooting and issues resolution Conduct training sessions to educate users on platform best practices and capabilities Optimize cluster configurations for performance and cost-effectiveness Monitor and manage auto-scaling to ensure resources are allocated efficiently Implement and enforce security policies, access controls, and encryption mechanisms Stay up-to-date with security best practices and compliance requirements Developer and maintain backup and disaster recovery strategies to ensure data integrity and availability Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes Monitor and manager platform costs, including optimizing resource utilization and control expenses Maintain detailed documentation of configurations, procedures, and best practices Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts to understand their requirements and provide technical solutions Qualifications:

Bachelor's degree in a relevant field (computer science, data engineering, etc.) Essential skills:

Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps Proficiency in AWS cloud platforms Integrity and Trust Customer Focus Functional/ Technical Skills Written/ Oral Communication Excellent analytical and problem-solving skills Ability to adapt to different projects and assignments quickly Team player with strong communication skills Desired Skills:

Experience in Utility and Energy related business is a plus Experience:

7+ years of related professional experience 3 years of experience with Databricks Lakehouse Platform Architecture on AWS

Benefits: Trissential offers competitive compensation package for full time roles. The pay range for this role is $125,000 to $130,000 annually based on candidate's qualifications and experience. This role is eligible for benefits and includes options for medical, dental, vision, and tele-health benefits; Health Savings Account with company contribution; 3 weeks PTO, and 401k retirement savings.

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