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

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 AI TECHNOLOGIES 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. AI TECHNOLOGIES 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 AI TECHNOLOGIES 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

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