GCP Data Architect

🕒 June 16

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🚰 Data Engineer

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KANINI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

KANINI is a global digital engineering and IT services firm that helps enterprises transform through product engineering, cloud enablement, data analytics & AI, intelligent automation, and ServiceNow solutions. It builds cloud-native applications, modernizes legacy systems, implements AI/ML and data platforms, and delivers managed outcomes via flexible engagement models for clients across healthcare, banking, energy, government and technology sectors.

📋 Description

• Lead architecture decisions for GCP data platforms. • Ensure scalability, security, and performance across data platforms and pipelines. • Define standards for DevOps/DataOps practices, including CI/CD, monitoring, and cost optimization. • Drive adoption of modern data architecture patterns (Data Mesh, Lakehouse, etc.). • Architect robust data integration frameworks across internal systems, APIs, SaaS platforms, and cloud services. • Define standards for batch and real-time data processing, including event-driven architectures and streaming platforms (e.g., Kafka, Pub/Sub). • Guide the design of ETL/ELT pipelines, ensuring scalability, reusability, and performance (execution may be handled by engineering teams). • Define and enforce data governance frameworks, including data quality, stewardship, lineage, and metadata management. • Establish enterprise standards for data validation, consistency, and observability. • Partner with stakeholders to implement data catalogs, lineage tracking, and master data management (MDM) strategies. • Ensure compliance with data privacy and regulatory requirements (e.g., HIPAA, GDPR). • Collaborate with data engineers, data scientists, business leaders, and application teams to align architecture with business goals. • Provide architectural guidance and oversight for data-related initiatives and projects. • Mentor engineering teams on best practices in data architecture, modeling, and integration design. • Act as a key advisor on data strategy and decision-making across the organization.

🎯 Requirements

• 8–12+ years of experience in data engineering, data architecture, or enterprise data platform roles. • Strong experience designing enterprise data architectures, data models, and integration frameworks. • Deep knowledge of GCP cloud data platforms (GCP) and services such as Google Cloud Dataflow. • Proficient in SQL, Python, and scripting for data manipulation and automation. • Experience with ETL/ELT tools (Informatica, Talend, SSIS, etc.) from an architectural/design perspective. • Strong understanding of APIs, microservices, and distributed systems. • Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis).

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development