Cloud Data Architect; AWS​/Azure​/Google Cloud Platform

Location:

New York, NY

Duration: 12 Months+ Extension

Hourly Rate:
Depending on Experience (DOE)

Work Authorization:
Required

Job Title:

Cloud Data Architect (AWS/Azure/Google Cloud Platform)

Location:

Onsite/Hybrid USA EST Coast

Duration:
Long Term Contract

Primary

Skills:

cloud platforms (AWS, Azure, and Google Cloud Platform)

• We are seeking an experienced Cloud Data Architect to design and implement enterprise-level data solutions across cloud platforms (AWS, Azure, and Google Cloud Platform). The role requires expertise in data strategy, modern cloud data platforms, and advanced analytics solutions, ensuring scalability, performance, and security.

• Design, build, and optimize cloud-based data architecture leveraging AWS, Azure, and Google Cloud Platform services.
• Develop data lake, data warehouse, and real-time streaming solutions for enterprise-scale workloads.
• Define and implement data governance, security, and compliance policies across multi-cloud environments.
• Collaborate with stakeholders, business teams, and data engineers to translate business requirements into technical data solutions.
• Build ETL/ELT pipelines and integrate data from structured and unstructured sources.
• Provide architecture best practices, patterns, and frameworks for cloud-based data solutions.
• Evaluate emerging cloud-native technologies and recommend adoption strategies.
• Ensure performance optimization, scalability, disaster recovery, and cost efficiency of cloud data platforms.
• Lead proof-of-concepts (POCs) and guide engineering teams in cloud data solution implementation.

• Bachelor's or Master's in Computer Science, Data Engineering, Information Systems, or related field.
• 10+ years of experience in data architecture, with at least 3+ years in cloud platforms (AWS, Azure, Google Cloud Platform).
• Strong hands-on experience in:
  • Google Cloud Platform:
    Big Query, Dataflow, Dataproc, Pub/Sub
  • Expertise in SQL/No
    
    SQL databases (Snowflake, Mongo
    
    DB, Cassandra, etc.).
  • Proficiency in big data & analytics frameworks (Spark, Kafka, Hadoop).
  • Experience with ETL/ELT tools (Informatica, Talend, dbt, Matillion, etc.).
  • Knowledge of security & compliance frameworks (GDPR, HIPAA, SOC2).
  • Excellent communication, stakeholder management, and leadership skills.

• Certifications:
  
  AWS Certified Data Analytics / Solutions Architect, Azure Data Engineer, Google Cloud Platform Professional Data Engineer.
• Experience with data mesh, data fabric, and AI/ML pipelines.
• Strong understanding of Dev Ops/Data Ops practices and CI/CD for data pipelines

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.