About Birlasoft
Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. Its consultative and design thinking approach makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CK Birla Group, Birlasoft with its 12,500+ professionals, is committed to continuing the Group’s 162-year heritage of building sustainable communities.
Overview:
An AWS Tech Lead with Databricks SME (Subject Matter Expert) knowledge is responsible for designing, deploying, and managing cloud-based infrastructure on AWS and supporting data solutions using Databricks. The role involves leading a team to ensure scalable, secure, and cost-efficient cloud services while integrating data pipelines and analytics solutions.
Roles and Responsibilities:
- Cloud Infrastructure Management:
- Design, implement, and maintain AWS cloud solutions, including VPCs, EC2 instances, S3 storage, RDS, and networking configurations.
- Ensure high availability, disaster recovery, and backup solutions for cloud environments.
- Implement Infrastructure as Code (IaC) using tools like Terraform, AWS CloudFormation, or CDK.
- Data Solutions with Databricks:
- Serve as a Databricks SME, guiding the architecture and implementation of ETL pipelines, data lakes, and machine learning workflows using Databricks on AWS.
- Optimize Databricks clusters for performance, cost, and security.
- Integrate Databricks with other AWS services like S3, Redshift, and Glue for seamless data processing.
- Leadership and Team Collaboration:
- Lead a team of cloud engineers, providing mentorship and technical guidance.
- Collaborate with cross-functional teams including data scientists, analysts, and developers to understand requirements and translate them into scalable cloud and data architectures.
- Manage project timelines, ensuring timely delivery of cloud and data solutions.
- Implement best practices for cloud security, including identity and access management (IAM), encryption, and VPC security.
- Ensure compliance with industry standards (e.g., GDPR, HIPAA) and internal security policies.
- Conduct regular security audits and optimize cloud configurations to reduce risk.
- Performance Optimization and Monitoring:
- Set up monitoring, logging, and alerting using AWS CloudWatch, Datadog, or similar tools.
- Analyze system performance and provide recommendations for improvement.
- Troubleshoot complex issues related to cloud infrastructure, data pipelines, and Databricks clusters.
Minimum Skills and Qualifications:
- Strong expertise in AWS services (EC2, S3, Lambda, RDS, VPC, CloudFormation, IAM, etc.).
- Proficiency with Databricks, including building and managing data pipelines, data lakes, and machine learning models.
- Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
- Knowledge of big data technologies like Apache Spark, Hadoop, or Delta Lake.
- Proficient in programming and scripting languages (e.g., Python, SQL, Scala).
- Experience with CI/CD pipelines for deploying cloud infrastructure.
- Soft Skills:Strong leadership and project management skills.
- Excellent problem-solving and analytical skills.
- Ability to work collaboratively with diverse teams.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Certifications:
- Required:AWS Certified Solutions Architect (Associate or Professional)
- Databricks Certified Associate Developer for Apache Spark
- Preferred:AWS Certified DevOps Engineer – Professional
- AWS Certified Big Data – Specialty or AWS Certified Data Analytics – Specialty
- Databricks Certified Professional Data Engineer
