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Cloud Data Architect

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Tata Consultancy Services Limited

Westlake Village, CA (In Person)

$130,000 Salary, Full-Time

Posted 7 weeks ago (Updated 1 week ago) • Actively hiring

Expires 5/27/2026

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Job Description

Cloud Data Architect Must Have Technical/Functional Skills
  • 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). Key Responsibilities 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.
Salary Range- $120,000-$140,000 a year #LI-OJ1

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