Cloud Data Architect

🚀 Now Hiring: Cloud Data architect 📍 Location: West Lake, CA or Carrolton,TX(Onsite) 📅 Contract Opportunity Apply: [Upgrade to PRO to see contact] Job Description: 1. Architecture & Design •      Design end to end cloud data architectures, including ingestion, processing, storage, governance, and consumption layers. •      Define modern data platform patterns such as lakehouse, data mesh, and real time streaming architectures. •      Select appropriate cloud-native services (e.g., AWS Redshift/S3/Glue, Azure Synapse/ADF/Databricks, GCP BigQuery/Dataflow). 2. Data Engineering & Integration •      Architect pipelines for batch and real time data ingestion. •      Enable scalable data processing using Spark, Databricks, Kafka, Flink, or cloud-native tools. •      Define ETL/ELT frameworks and best practices. 3. Cloud Platform Expertise •      Build secure and scalable cloud data ecosystems. •      Optimize data storage, compute performance, cost, and operational efficiency. •      Implement Infrastructure as Code (Terraform, ARM, CloudFormation). 4. Data Governance & Security •      Develop data cataloging, lineage, classification, and DQ frameworks. •      Implement cloud IAM, role-based access, encryption, and compliance (GDPR, HIPAA, SOC2, PCI-DSS if BFSI). 5. Stakeholder Collaboration •      Work with business stakeholders to translate requirements into technical architectures. •      Partner with security, platform engineering, and product teams. •      Provide thought leadership in cloud data strategy and modernization. 6. Documentation & Best Practices •      Create reference architectures, standards, and reusable frameworks. •      Conduct architectural reviews and capacity planning." "•     8+ years in data engineering/architecture; 3+ years in cloud-native architectures. •      Hands-on expertise in at least one major cloud: o      AWS (S3, Redshift, EMR, Glue, Athena, Lake Formation) o      Azure (Synapse, Data Lake, ADF, Databricks) o      GCP (BigQuery, Dataflow, Dataproc) •      Strong experience with: o      Distributed data processing (Spark, Databricks) o      SQL/NoSQL design o      Event streaming (Kafka, Kinesis, Pub/Sub) o      Data modeling (Star/Snowflake, Data Vault) •      Proficiency in Python, PySpark, SQL. •      Knowledge of data governance, security, metadata management. Preferred Qualifications •      Cloud Architect certifications (AWS Solutions Architect, Azure Architect Expert, GCP Professional Data Engineer). •      Experience with BI/visualization tools (Power BI, Tableau, Looker). •      Familiarity with ML/AI platforms (Azure ML, SageMaker, Vertex AI). •      Experience in regulated industries (BFSI, healthcare)________________________________" Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital: Terraform~Digital : Databricks~Enterprise Architecture Experience Required: 8-10