Sr. Architect - Data & Digital Transformation

Location : US (Location Agnostic); Pittsburg or Cleveland would be ideal

Leadership Band / Level : Sr. Director

Work mode : Remote; travel to Pittsburg, Cleveland, Dallas

• About the Role

As a Senior Architect specializing in data and digital transformation, you will lead the architectural vision and execution for complex, large-scale initiatives that leverage cutting-edge cloud technologies and data-driven ecosystems. You will partner closely with executive leadership, engineering teams, and delivery partners to design robust, scalable, and secure hybrid architecture spanning On-Premises, AWS, Azure, and other cloud environments. This role requires a strategic thinker with hands-on expertise and the ability to drive change across business and technical stakeholders.

• Key Responsibilities

➢Own and drive the enterprise-wide architecture strategy for digital transformation initiatives, leveraging microservices, AI-driven solutions, real-time integrations, and heterogeneous data sources / formats.

➢Conceptualize, design, and deliver scalable, resilient, and secure platform solutions supporting evolving business needs.

➢Architect and implement system integration solutions, integrating Salesforce, ServiceNow, custom applications, customer-facing channels, data lakes, and cloud data warehouses (e.g., Redshift, Snowflake, BigQuery).

➢Define standards, best practices, and reference architectures for APIs, event-driven integration, and data interoperability across the enterprise

➢Lead end-to-end solution architecture across hybrid environments, ensuring seamless integration between applications, data infrastructure, and cloud services on AWS, Azure, and GCP platforms.

➢Collaborate with CTOs, VPs of Data & AI, and senior technical leaders to translate business objectives into innovative data architectures and governance frameworks.

➢Guide modernization initiatives, transitioning legacy systems to modular, federated architectures incorporating micro front-ends and microservices.

➢Drive the design and optimization of real-time streaming data pipelines using Kafka, Spark Streaming, Flink, or equivalent technologies, ensuring high throughput and low latency.

➢Define best practices for data modeling, quality, governance, and security across relational and NoSQL databases, ensuring compliance and operational excellence.

➢Evaluate and propose emerging data technologies and cloud services, championing continuous improvement and architectural innovation.

➢Facilitate workshops and presentations to align stakeholders on architecture vision, technical roadmaps, and transformation priorities.

➢Mentor and lead cross-functional teams, fostering agile delivery and DevOps practices including CI / CD and infrastructure-as-code.

• Qualifications
• Bachelor's or master's degree in computer science, Information Technology, or related discipline.
• 15+ years of progressive experience in enterprise architecture with deep expertise in data architecture and digital transformation.
• Proven expertise with cloud platforms AWS, Azure, and GCP, including services for data warehousing, lake houses, and streaming analytics.
• Strong hands-on experience with microservices, hybrid cloud solutions, and front-end federated architectures.
• Deep knowledge of real-time data processing frameworks (Kafka, Spark Streaming, Flink) and unstructured data management using NoSQL stores (MongoDB, Cassandra).
• Proficient in SQL, Python, Scala, and experience with vector databases (e.g., Pinecone, Weaviate) for AI-powered use cases.
• Extensive background in data governance, compliance, identity management, and security best practices.
• Demonstrated ability to influence senior stakeholders and present complex technical concepts clearly across diverse audiences.
• Agile methodology experience, with strong leadership skills to manage cross-disciplinary teams and foster innovation.
• Preferred Skills & Attributes
• Certifications in cloud platforms such as AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate, or GCP Professional Data Engineer.
• Experience with implementing Lakhouse architecture on-Prem and cloud.
• Experience with infrastructure-as-code tools like Terraform or CloudFormation.
• Experience with policy-as-code in Data and application environments.
• Data Modelling, Polyglot persistence, virtualization, Data governance.
• Knowledge of machine learning pipelines and deployment on cloud environments.
• Strong strategic mindset with proven success in driving enterprise-wide architectural transformations.
• Excellent communication, stakeholder management, and mentoring abilities, thriving in fast-paced, ambiguous settings.
• Soft Skills & Leadership Traits

o Strategic Communicator – simplifies complex architecture and aligns stakeholders.

o Executive Presence – trusted advisor to leadership with influencing capabilities & ability to stand the ground.

o Collaborative Leader – mentors and leads cross-functional teams effectively.

o Innovative Thinker – explores emerging technologies and fosters innovation.

o Results-Oriented – accountable, deadline-focused, and outcome-driven.

o Customer-Centric – balances user experience with business impact.

o Adaptable & Resilient – thrives in ambiguity and fast-paced settings.