Cloud Data Architect

Cloud Data Architect

Location: West Lake, CA or Carrolton, TX Duration: Fulltime Skills: Cloud Architecture Salary: 120K - 140K/Year

Roles and Responsibilities: 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

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.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.