Director Architecture; Hybrid

Position: Director Architecture (Hybrid)
We are seeking a Director of Architecture to lead architecture strategy and solution design for a large-scale, business-critical data and platform transformation program. This role will play a key leadership position in shaping scalable, secure, and high-performing solutions across a complex multi-cloud environment (Azure, AWS, GCP).The Director will partner closely with business and technology leaders to align architecture with program goals, guide solution delivery, and ensure consistency across multiple work streams and platforms.

You will work across a diverse ecosystem of data, applications, and integration layers—driving architectural direction for modern data platforms (Snowflake, Databricks) and enabling advanced analytics and AI capabilities. This is a highly visible role requiring a balance of hands-on architectural expertise, program-level leadership, and strong stakeholder engagement.

Job Description Lead architecture strategy and governance across a large-scale, multi-cloud data and platform program

Define and drive architecture standards, patterns, and best practices to ensure consistency, scalability, and reusability across solutions

Oversee end-to-end solution architecture across complex environments (Azure, AWS, GCP), guiding teams in designing scalable and resilient systems

Translate business and program requirements into practical, high-quality architecture and technical solutions

Lead design reviews and ensure alignment with agreed architectural patterns and standards

Drive the design and evolution of modern data platforms using technologies such as Snowflake, Databricks, and lakehouse/data mesh architectures

Architect data warehousing, data integration, and analytics solutions supporting high-volume, large-scale data processing

Enable advanced analytics, AI/ML, and automation capabilities across the data lifecycle

Define and deliver the roadmap for a cloud-scale, governed data platform, reducing redundancy and improving overall data maturity

Support adoption of a data-as-a-product model with clear ownership, SLAs, and lifecycle management for curated data products

Partner closely with product, engineering, infrastructure, and downstream teams to ensure seamless integration and alignment across systems

Work with stakeholders to define architecture roadmaps, priorities, and investment decisions aligned to program goals

Drive performance, scalability, and reliability across applications, data pipelines, and workflows

Lead cost optimization initiatives, including compute, storage, and orchestration efficiency (Fin Ops practices)
Identify and mitigate risks related to scale, performance, cost, and system reliability

Evaluate emerging technologies and lead proof-of-concept initiatives to assess business value

Drive adoption of modern capabilities across cloud, data, and AI platforms

Mentor engineering and architecture teams, promoting best practices and strong technical decision-making

Provide guidance on solution design, workflow orchestration, and implementation approachesQualifications
12+ years of experience in architecture, engineering, or large-scale platform roles

Proven experience designing and delivering solutions in multi-cloud environments (Azure, AWS, GCP)
Strong expertise in modern data platforms, including Snowflake, Databricks, and data warehousing solutions

Hands-on background with large-scale data processing, integration, and analytics in complex environments

Deep understanding of:

Data architecture (data warehousing, lakehouse, integration patterns)
Distributed systems and high-volume data processing

Cloud-native architecture and platform design

Experience working with modern data ecosystems, including enabling AI/ML and advanced analytics capabilities

Strong experience in…