Lead AWS Cloud Engineer - Databricks Platform

Description :

About the job :

Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.

We are looking for :

Lead AWS Cloud Engineer - Databricks Platform

Duration : Contract Or FTE

Shift Time : EST Time Zone

Position Overview :

We are seeking a highly skilled and experienced AWS Cloud Engineer with a strong background in Databricks to join our dynamic cloud engineering team. The ideal candidate will have extensive experience in designing, deploying, and managing cloud infrastructure on AWS, along with in-depth expertise in the Databricks platform for data engineering, analytics, and machine learning workloads. The candidate should also have prior leadership experience, as they will be responsible for guiding a team of engineers in cloud-related initiatives, best practices, and ensuring the successful delivery of data-driven solutions.

Key Responsibilities :

Cloud Infrastructure Design & Implementation :

- Lead the design, implementation, and optimization of scalable and secure AWS cloud solutions.

- Utilize AWS services such as EC2, S3, Lambda, RDS, VPC, IAM, and others for building robust cloud-based architectures.

- Work closely with the architecture team to define infrastructure requirements and recommend suitable AWS technologies.

Databricks Platform Expertise :

- Leverage Databricks for building and managing data pipelines, running Spark-based analytics workloads, and orchestrating machine learning models.

- Design, optimize, and maintain Databricks clusters and notebooks for data processing, transformation, and analysis.

- Integrate Databricks with other AWS services (e.g., S3, Redshift, Glue) to build comprehensive end-to-end data solutions.

- Provide leadership in best practices for working with Databricks to ensure reliability, scalability, and efficiency of data workflows.

Leadership & Mentoring :

- Lead a team of cloud engineers, guiding them in implementing solutions that align with organizational goals and industry best practices.

- Mentor junior team members and provide technical guidance on cloud-related projects, Databricks integration, and infrastructure optimization.

- Facilitate cross-functional collaboration between engineering, data science, and business teams.

Automation & Optimization :

- Automate cloud infrastructure provisioning and management using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation).

- Continuously monitor and optimize AWS resources to improve performance and reduce costs.

Troubleshooting & Support :

- Provide expert-level troubleshooting and support for cloud infrastructure, Databricks platform issues, and production systems.

- Identify and resolve performance bottlenecks, security risks, and system inefficiencies across AWS and Databricks environments.

Documentation & Reporting :

- Document cloud infrastructure, Databricks configurations, and solutions for internal knowledge sharing.

- Prepare regular reports on system performance, cost management, and the status of cloud initiatives.

Key Requirements :

Experience :

- 5+ years of experience in AWS cloud engineering, with a proven track record of delivering cloud-based solutions.

- 3+ years of hands-on experience with Databricks platform, including building and managing data pipelines, notebooks, and Spark-based workloads.

- 2+ years of experience leading or mentoring a team of engineers, with strong leadership and team-building skills.

Technical Skills :

- Proficient in AWS cloud services (EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, etc.).

- Strong knowledge of Databricks, Apache Spark, and data engineering best practices.

- Experience with containerization and orchestration tools (Docker, Kubernetes).

- Familiar with Infrastructure-as-Code tools (Terraform, CloudFormation).

- Experience with data processing frameworks, data lakes, and analytics pipelines.

Additional Skills :

- Strong understanding of security best practices in cloud environments.

- Ability to manage complex cloud projects with multiple stakeholders.

- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

- Experience with Agile methodologies is a plus.

Education & Certifications :

- Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).

- AWS Certified Solutions Architect Professional (preferred).

- Databricks Certified Associate Developer (preferred, but not required).