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David Careers

Cloud Data Architect

Posted 4 days ago

ace stackCarrollton (TX)
Data Warehousing SpecialistsComputer Systems Design Services

SENIORITY

Lead

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About the role

Cloud Data Architect
Location: West Lake, CA or Carrolton, TX (Onsite) Fulltime
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: AWS (S3, Redshift, EMR, Glue, Athena, Lake Formation) Azure (Synapse, Data Lake, ADF, Databricks)GCP (BigQuery, Dataflow, Dataproc) Strong experience with: Distributed data processing (Spark, Databricks)SQL/NoSQL design Event streaming (Kafka, Kinesis, Pub/Sub) 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:
  • Architecture & DesignDesign 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).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.
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).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).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.
Documentation & Best Practices: Create reference architectures, standards, and reusable frameworks. Conduct architectural reviews and capacity planning.

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