Sr. Architect - Data & Digital Transformation

ZipRecruiter; Dallas (TX); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading recruitment platform is seeking a Sr. Architect for Data & Digital Transformation. This role requires 15+ years of experience in enterprise architecture and a deep understanding of cloud platforms like AWS, Azure, and GCP. The successful candidate will own the architecture strategy, drive modernization initiatives, and integrate innovative solutions across diverse environments. Excellent communication and leadership skills are essential for mentoring cross-functional teams and presenting to stakeholders.

Qualifications

• 15+ years of progressive experience in enterprise architecture.
• Strong hands-on experience with microservices and hybrid cloud solutions.
• Demonstrated ability to influence senior stakeholders.

Responsibilities

• Drive the enterprise-wide architecture strategy for digital transformation.
• Lead end-to-end solution architecture across hybrid environments.
• Mentor and lead cross-functional teams.

Skills

Microservices

AI-driven solutions

Data governance

Real-time data processing

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor's or master's degree in computer science, Information Technology, or related discipline

Tools

Kafka

Terraform

SQL

Python

Flink

Job description

Overview

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.

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, 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.

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 Lakehouse 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

• Strategic Communicator – simplifies complex architecture and aligns stakeholders.
• Executive Presence – trusted advisor to leadership with influencing capabilities & ability to stand the ground.
• Collaborative Leader – mentors and leads cross-functional teams effectively.
• Innovative Thinker – explores emerging technologies and fosters innovation.
• Results-Oriented – accountable, deadline-focused, and outcome-driven.
• Customer-Centric – balances user experience with business impact.
• Adaptable & Resilient – thrives in ambiguity and fast-paced settings.