Senior Data Architect

Key Responsibilities
Multi-Cloud Architecture: Design and implement enterprise-grade data solutions across Azure and AWS environments.
Data Platforms: Architect modern Data Lakes, Lakehouse, and Data Warehouse solutions for batch and real-time data processing.
Data Migration & Modernization: Lead large-scale data migration initiatives, including on-premise to cloud, cloud-to-cloud, and legacy DW to modern platforms.
Data Pipeline Design: Build scalable ETL/ELT pipelines leveraging cloud-native tools and distributed processing frameworks.
Governance & Security: Establish data governance frameworks, access control policies, security best practices, and compliance for cloud environments.
Performance & Cost Optimization: Monitor and optimize performance, storage, and cost of cloud data workloads.
Technical Leadership: Guide and mentor data engineers, architects, and analytics teams; provide technical reviews and establish best practices.
Stakeholder Collaboration: Work closely with business, analytics, AI/ML, and IT teams to translate business requirements into scalable technical solutions.

Required Technical Skills
Azure Expertise
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure Databricks
Azure SQL Database
AWS Expertise
Amazon S3
AWS Glue
Amazon Redshift
Amazon EMR
AWS Lambda
Other Key Skills
Strong foundation in Big Data engineering concepts, distributed computing, Spark, partitioning strategies.
Expertise in Data Lakes, Lakehouse, and Data Warehouses.
Proficiency in SQL, Python, and Spark.
Experience with real-time streaming frameworks (Kafka, Kinesis, Event Hub).
Infrastructure as Code experience (Terraform, CloudFormation, ARM Templates).
Deep understanding of cloud security, IAM/RBAC, encryption, networking, and compliance.
Experience implementing CI/CD pipelines for data solutions.