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

Cloud Hybrid Technologies, LLC; New York (NY); On-site; USD 165,312 - 206,640; Full time

Job summary

A leading tech company in New York is seeking a skilled Cloud Data Architect to build and optimize enterprise data solutions across AWS, Azure, and Google Cloud platforms. The ideal candidate will have over 10 years of experience in data architecture with deep knowledge of modern cloud data strategies. Responsibilities include designing data architecture, implementing governance best practices, and collaborating with stakeholders to meet business needs. This long-term contract offers a competitive hourly rate based on experience.

Qualifications

• 10+ years of experience in data architecture, with at least 3+ years in cloud platforms.
• Strong hands-on experience in data engineering, cloud architecture, and ETL processes.

Responsibilities

• Design and optimize cloud-based data architecture using AWS, Azure, and Google Cloud.
• Develop data lake and real-time streaming solutions for enterprise workloads.
• Define and implement data governance, security, and compliance policies.
• Collaborate with stakeholders to translate business requirements into technical solutions.

Skills

Cloud platforms (AWS, Azure, Google Cloud Platform)

SQL/NoSQL databases

Big data & analytics frameworks

ETL/ELT tools

Excellent communication

Education

Bachelor's or Master's in Computer Science, Data Engineering, Information Systems

Tools

Google Cloud Platform: BigQuery, Dataflow, Dataproc, Pub/Sub

Spark

Kafka

Hadoop

Informatica

Talend

dbt

Matillion

Job description

Location:

New York,NY

Duration:

12Months + Extension

Hourly Rate:

Depending on Experience (DOE)

Work Authorization:

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)

Job Summary

• 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.

Key Responsibilities

• 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.

Required Skills & Qualifications

• 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: BigQuery, Dataflow, Dataproc, Pub/Sub
• Expertise in SQL/NoSQL databases (Snowflake, MongoDB, 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.

Preferred Qualifications

• 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 DevOps/DataOps practices and CI/CD for data pipelines

Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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