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Databricks Architect
Tata Consultancy Services
Malvern, USA
Full-time
Senior · 14+ years experience
Onsite
USD 130000-165000 yearly / year
Discovered 1 weeks ago
AWSAmazon S3AWS GlueSparkPySparkAmazon EMR
Free
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Key Skills for This Role
AWSAmazon S3AWS GlueSparkPySparkAmazon EMR
Full Job Posting
Must Have Technical And 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
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