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Sr. Architect - Data & Digital Transformation

Sr. Architect - Data & Digital Transformation

QodeCleveland, OH, US
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Job Description

Job Description

  • 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.

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