Must Have Technical/Functional Skills
- AWS Data Services
- S3, Redshift, Glue, Lambda, Athena.
- Data Modeling
- Dimensional Modeling (Star/Snowflake), Data Warehouse Design.
- Data Lake Architecture
- Amazon S3, Lake Formation, Data Lake best practices.
- Big Data & Processing
- Spark/PySpark, Amazon EMR.
- ETL/ELT Development
- AWS Glue, Airflow, Data Pipeline orchestration.
- SQL Expertise
- Advanced SQL, query optimization, performance tuning.
- Streaming & Real-Time Data
- Kinesis and/or Kafka
- Security & Governance
- IAM, KMS, Lake Formation, Encryption, Data Governance.
- Infrastructure as Code
- Terraform and/or CloudFormation.
- Architecture & Stakeholder Management
- Solution design, cloud migration, business requirement translation.
Roles & Responsibilities Senior Databricks Architect with strong experience in designing and implementing enterprise-scale Lakehouse architectures on cloud platforms. Expertise in Databricks, Spark, PySpark, Delta Lake, data modeling, and real-time data processing. Responsible for defining data strategy, architecture standards, governance, and scalable analytics platforms supporting AI/ML and business intelligence initiatives Generic Managerial Skills, If any
- Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
- Proven effective communication with business and technical stakeholders.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support:
Maternal & Parental Leaves.
Insurance Options:
Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth:
Commuter Benefits & Certification & Training Reimbursement.
Time Off:
Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range:
$130,000