Senior Staff Data Platform Architect

Job Overview

Our client, a leading technology-driven organization operating at global scale, dedicated to empowering individuals and communities to support one another, is seeking a Senior Staff Data Platform Architect to design, modernize, and lead the evolution of its enterprise data platform.

This role is instrumental in building a scalable, cloud-native data ecosystem that supports advanced analytics, real-time decision-making, experimentation, and AI/ML-driven innovation. The ideal candidate brings deep expertise in data architecture, platform engineering, and large-scale distributed systems, with a proven ability to translate complex business needs into high-performing data solutions.

You will play a critical role in shaping the organization’s data strategy, enabling reliable, secure, and efficient access to data across engineering, product, analytics, and data science teams.

Key Responsibilities

• Architect and modernize the enterprise data platform into a scalable, secure, and high-performance cloud-native ecosystem.
• Own end-to-end data architecture, including data ingestion, transformation, modeling, storage, and consumption layers.
• Design and implement systems that support analytics, real-time reporting, experimentation frameworks, and AI/ML use cases.
• Define and enforce enterprise-wide standards for data modeling, semantic layers, and trusted datasets.
• Establish frameworks for data governance, including data lineage, quality, privacy, and security, ensuring compliance with regulations such as GDPR and CCPA.
• Drive platform reliability, observability, and cost optimization to support large-scale data operations.
• Evaluate and guide adoption of modern data technologies, tools, and architectural patterns.
• Collaborate cross-functionally with engineering, product, analytics, and data science teams to deliver scalable data solutions aligned with business objectives.
• Provide hands-on technical leadership in solving complex data platform challenges.
• Mentor engineering teams and elevate best practices across the data organization.

Required Qualifications

• Demonstrated experience working with agentic systems and AI-assisted development workflows, leveraging tools and autonomous agents to accelerate architecture design, data workflows, and platform delivery.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 10+ years of experience in data engineering, data architecture, or platform engineering, including 3+ years in a senior or architect-level role.
• Proven experience building and scaling enterprise data platforms end-to-end, beyond individual pipelines.
• Strong expertise with modern cloud data platforms such as Snowflake, Databricks, or equivalent technologies.
• Deep understanding of data modeling, semantic layers, and building trusted datasets for analytics and product use cases.
• Experience designing both batch and real-time data processing systems, including streaming or event-driven architectures.
• Hands-on experience implementing data governance frameworks, including data quality, lineage, access controls, and compliance.
• Strong problem-solving skills with the ability to navigate complex, large-scale data challenges.
• Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to influence technical direction and align cross-functional teams.
• Experience leveraging AI-assisted development tools or workflows to accelerate platform design and delivery.

Preferred Qualifications

• Experience working within high-growth technology organizations, marketplaces, fintech, or SaaS environments.
• Background supporting experimentation platforms, trust & safety systems, fraud detection, or AI/ML-driven products.
• Familiarity with tools such as dbt, Looker, or similar analytics and semantic modeling platforms.
• Experience with lakehouse architectures and technologies such as Delta Lake or Apache Iceberg.

Core Competencies

• Enterprise Data Architecture & Platform Design
• Cloud-Native Data Systems
• Data Modeling & Semantic Layer Design
• Real-Time & Batch Data Processing
• Data Governance & Compliance
• Performance Optimization & Scalability
• Cross-Functional Leadership & Collaboration
• AI/ML Data Enablement

What Sets This Role Apart

This is a high-impact opportunity to shape the future of a rapidly evolving data ecosystem at scale. You will be at the forefront of building a modern data platform that powers critical business decisions, advanced analytics, and next-generation AI capabilities. The role offers a unique blend of strategic influence and hands-on technical leadership within a fast-paced, innovation-driven environment.

If you’re passionate about building scalable data platforms, enabling high-quality insights, and solving meaningful problems at scale — this is a great opportunity for you! Contact Us