Lead Data Platform Architect & Software Engineer

Randall Turner

***********@*****.*** • 989-***-**** • linkedin.com/in/randall-t-engineer

Lead software engineer and data platform architect with 13+ years of experience building and evolving large-scale distributed systems across supply chain automation, regulated financial services, digital health, and consumer marketplaces. Deep expertise in designing data-intensive platforms, real-time operational workflows, centralized observability systems, and high-volume data processing pipelines that balance scale, reliability, security, and cost. Proven ability to modernize fragmented operational processes into automated, observable, and maintainable architectures while providing technical direction across system boundaries, cross-team dependencies, and long-term platform strategy. Experienced in leading architecture discussions, mentoring engineers, and translating broad business needs into practical technical direction with a strong focus on data governance, operational simplicity, and production reliability. Combines hands-on engineering depth with consultative leadership to help organizations turn complex data and operational information into reliable context that downstream systems and stakeholders can act on. WORK EXPERIENCE

FORTNA • Remote • Sep 2024 - Present

Lead Engineer / Data Platform Architect

• Lead architecture and evolution of platforms connecting operational systems, real-time business events, internal services, and engineering workflows across complex transportation, warehouse, fulfillment, and supply chain operations.

• Design distributed services and data processing pipelines that process continuous information related to shipments, inventory movement, operational status, routing, exceptions, and fulfillment activity, turning raw data into reliable operational context for downstream teams.

• Drive system modernization by transforming fragmented operational processes into systems that are easier to automate, observe, and scale, with a strong focus on data governance, reliability, and long-term maintainability.

• Provide technical direction across architecture, system boundaries, cross-team dependencies, production reliability, engineering standards, and long-term platform strategy while remaining hands-on with complex technical problems.

• Establish monitoring and observability practices to track service performance, latency, availability, and recovery objectives for critical operational systems where software decisions directly influence the movement of goods and customer commitments.

• Lead engineering efforts around real-time operational workflows, distributed services, and data processing, mentoring engineers and helping teams balance business needs with sustainable architecture.

• Collaborate across organizational boundaries to identify constraints, simplify architecture, automate repetitive work, improve visibility, and strengthen reliability across large operational environments.

• Architect shared platforms that allow other engineering teams to move faster by providing consistent access to operational information and reducing dependency on disconnected tools.

• Focus on infrastructure efficiency by modernizing platform components, reducing unnecessary operational overhead, improving automation, and creating more repeatable production environments.

• Partner with stakeholders to translate broad business needs into practical technical direction, leading architecture discussions and resolving difficult production problems across the platform. Wells Fargo • Remote • Mar 2021 - Aug 2024

Senior Software Engineer / Data Engineer

• Contributed to the design and evolution of centralized observability and operational platforms that collected information across large application environments within a highly regulated financial services setting.

• Built high-volume data processing workflows where scale was considered across ingestion, processing, storage, search, and infrastructure utilization, helping engineering teams understand system behavior and investigate incidents faster.

• Improved how operational information moved from production systems into engineering workflows, reducing the time engineers spent searching across disconnected tools and providing faster access to information required for root-cause analysis.

• Designed and implemented workflows that identified and remediated inappropriate data before it moved deeper into operational platforms, ensuring strong controls around sensitive information in compliance with regulatory requirements.

• Modernized platform components to reduce unnecessary operational overhead, improve automation, and create more repeatable production environments through infrastructure automation and CI/CD practices.

• Worked on systems where reliability, security, operational visibility, and data protection were critical, balancing scale, availability, cost, security, compliance, and operational risk in every engineering decision.

• Collaborated across engineering teams to establish consistent access to operational data, improving incident response and failure identification across a large, interconnected financial platform.

• Focused on data governance and responsible data handling by enforcing access boundaries, sensitive user information controls, traceability, and operational reliability from the beginning of architecture decisions. Amwell • Boston, MA • Jan 2017 - Feb 2021

Software Engineer

• Built and modernized backend systems, data workflows, service architecture, and operational capabilities across a digital health platform connecting technology with healthcare services and patient-centered workflows.

• Improved services that had become difficult to maintain by separating responsibilities more clearly and creating a stronger foundation for future development within a mature healthcare platform.

• Designed health-related data workflows where information moved reliably from user activity and application events into structured systems supporting downstream product and operational needs.

• Ensured data quality by validating, normalizing, and preserving data consistently so downstream services could rely on accurate information, with a strong focus on security and responsible data handling.

• Contributed to workflows that reduced manual operational coordination by turning repeated business processes into structured, trackable system behavior, improving visibility into how activities progressed through the platform.

• Designed integrations with external systems while accounting for temporary failures, delayed responses, and partial outages, keeping core healthcare workflows reliable even when external dependencies were unavailable.

• Developed a strong foundation in distributed backend systems, platform modernization, healthcare data, production reliability, and long-term system maintainability over five years of hands-on engineering. StockX • Detroit, MI • Oct 2014 - Dec 2016

Software Developer

• Contributed to customer-facing product workflows, backend services, internal systems, and platform improvements supporting users interacting with a fast-growing consumer technology and marketplace platform.

• Gained practical experience identifying performance bottlenecks, reducing unnecessary pressure on core systems, and improving how frequently requested information was accessed as transaction volume and user activity increased.

• Worked on application workflows that connected customer experiences with shared backend services and business logic, organizing functionality so common behavior could be reused consistently across different parts of the product.

• Built background processing for operations too expensive to complete directly inside the user request path, moving heavier workloads into asynchronous workflows to keep customer interactions responsive.

• Supported production systems and learned the importance of observability, monitoring, and real user behavior when diagnosing issues that could not always be reproduced during development.

• Developed the foundational understanding of how users interact with products, how to build systems around those needs, and how to continuously improve architecture as the business grows. EDUCATION

Master’s Degree in Computer Science

Michigan State University • East Lansing, MI • 2012 - 2014 Bachelor’s Degree in Computer Science

Michigan State University • East Lansing, MI • 2008 - 2012 SKILLS

Cloud & Data Architecture: GCP, BigQuery, Google Cloud Storage, Dataflow, Dataproc, Cloud Composer, Pub/Sub, BigLake, Dataplex, IAM, VPC Service Controls

Data Engineering & Processing: Apache Beam, Apache Spark, Apache Airflow, dbt, Kafka, ETL/ELT, Data Warehousing, Data Modeling, Data Migration, PB-scale Migrations

Infrastructure & DevOps: Terraform, Kubernetes, GKE, Docker, CI/CD, Infrastructure as Code, Agile/DevOps, Version Control Analytics & Governance: Looker, Vertex AI, BigQuery ML, Data Governance, Data Security, Data Masking, Encryption, Observability, Monitoring

Leadership & Architecture: Solution Architecture, Technical Roadmapping, Cross-functional Leadership, Stakeholder Management, Mentoring, System Design, Reliability Engineering, Self-serve Platforms

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