Data Platform Architect - AIRLKLHV

Job Title: Data Platform Architect

Location: USA / Canada (Remote / Hybrid)
Job Type: Contract / Full-Time (Based on Engagement)

Overview

We are seeking an experienced Data Platform Architect to design and implement scalable, high-performance data platforms that support enterprise analytics, machine learning, and reporting initiatives. This role is critical in building the data foundation that enables data-driven decision-making across the organization.

The ideal candidate will bring deep expertise in modern data architectures, including lakehouse models and cloud-based ecosystems, along with the ability to align technical solutions with business objectives.

Responsibilities

• Design and implement enterprise-grade data platforms for large-scale analytics and AI use cases
• Develop and optimize data pipelines for ingestion, transformation, and storage (ETL/ELT)
• Evaluate and recommend data technologies based on business and technical requirements
• Define and implement data governance, security, and compliance frameworks
• Collaborate with cross-functional engineering teams to integrate data systems seamlessly
• Optimize data infrastructure for performance, scalability, and reliability
• Enable advanced analytics and machine learning workloads
• Provide technical leadership, guidance, and mentorship to data engineering teams

Required Qualifications

• Extensive experience designing and implementing modern data architectures
• Strong knowledge of cloud data platforms (AWS, Azure, or GCP)
• Hands-on experience with ETL/ELT tools and data pipeline development
• Solid understanding of data governance, security, and compliance practices
• Experience working in large-scale enterprise data environments
• Strong expertise in database technologies and data modeling
• Ability to translate complex business requirements into scalable technical solutions

Must-Have Skills

• Proven experience designing enterprise-scale data platforms supporting AI/ML workloads
• Experience integrating legacy systems with modern cloud data platforms
• Strong problem-solving, architecture, and decision-making skills
• Excellent communication and collaboration abilities

Preferred Qualifications

• Experience with lakehouse architectures (e.g., Delta Lake, Iceberg, or similar)
• Familiarity with big data processing frameworks (e.g., Spark)
• Knowledge of data observability and monitoring tools
• Experience with MLOps and data platform optimization for AI use cases

Work Environment

• Remote / Hybrid flexibility
• Collaborative, fast-paced, and innovation-driven environment

For more details reach at resumes@navitassols.com