Databricks Architect
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Role details
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Job description
Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure. Experienced in Data Lakes, Lakehouse architectures, Databricks, , Redshift, Athena and real-time data processing solutions. Proven ability to deliver secure, scalable, and governed data ecosystems supporting analytics, AI/ML, and business intelligence initiatives. * AWS Data Architecture Design scalable, secure, and high-performance data platforms on AWS. * Data Modeling Conceptual, Logical, Physical, Star & Snowflake schema design. * Data Lakes Amazon S3, Lake Formation, Data Lake architecture. * Data Warehousing Amazon Redshift and enterprise data warehouse design. * Big Data Processing Apache Spark, PySpark, Amazon EMR. * ETL/ELT Development AWS Glue, Lambda, Step Functions, Airflow. * Streaming & Real-Time Analytics Amazon Kinesis, Kafka, MSK. * Data Governance & Security IAM, KMS, Lake Formation, Encryption, Data Lineage. * DevOps & Infrastructure as Code Terraform, CloudFormation, CI/CD Pipelines. * Solution Design & Stakeholder Management Business requirement analysis and end-to-end architecture design.
Requirements
Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required
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