Position Summary

We are seeking a skilled and visionary Data Architect to lead the design, development, and operation of a cloud-based data operations platform. In this role, you will also act as the Product Owner for the Data Operations Scrum Team, driving the delivery of impactful business outcomes.

As a Data Architect, you will define and execute the vision for a secure, scalable, and fault-tolerant platform that enables near real-time operational and analytics-ready data for the business. You’ll collaborate closely with stakeholders and lead a high-performing, cross-functional team to deliver innovative solutions in a fast-paced environment.

This role requires expertise in modern data architecture, cloud technologies, Agile leadership, and DevOps practices, along with strong business acumen and prioritization skills.

Key Responsibilities

Data Architecture

• Design and implement scalable, secure, and efficient data architectures.
• Develop and enforce data management strategies, including modeling, integration, warehousing, and migration.
• Oversee the implementation of cloud-native data platforms, ensuring optimal performance, cost-efficiency, and reliability.
• Define and uphold data governance standards to ensure regulatory compliance and adherence to best practices.
• Collaborate with cross-functional teams to align the data architecture with business goals.

Product Ownership

• Establish and maintain a clear product vision, roadmap, and backlog for the data platform.
• Prioritize features, enhancements, and technical debt based on business value, stakeholder input, and team capacity.
• Act as the primary bridge between stakeholders and the Scrum team, ensuring alignment on objectives and deliverables.
• Write clear, actionable user stories and acceptance criteria for the development team.
• Facilitate Scrum ceremonies, including sprint planning, reviews, and retrospectives, to maximize team productivity.

Qualifications

Required:

• 8+ years of experience in data architecture, data engineering, or related fields.
• Proven expertise in designing and implementing data lakes, data warehouses, and real-time streaming solutions.
• Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native services.
• Proficiency in modern data tools and technologies, including SQL, Python, Spark, Kafka, and ETL frameworks.
• Familiarity with data governance tools (e.g., Collibra, Alation) and regulatory compliance (e.g., GDPR, CCPA).
• 3+ years as a Product Owner or similar role in an Agile environment.
• Deep understanding of Scrum and Agile methodologies, including backlog management and sprint planning.
• Excellent communication and stakeholder management skills, with the ability to translate between technical and business needs.
• Strong leadership, problem-solving, and coaching skills.
• Familiarity with DevOps practices, microservices architecture principles, and networking fundamentals (e.g., OSI model, security).
• Fluent in English.

Preferred:

• Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
• AWS Certifications (e.g., Solutions Architect Professional, DevOps Engineer, Security).
• Experience building secure systems compliant with ISO 27001 and NIST 800-53 standards.
• Hands-on experience with data visualization tools (e.g., Tableau, Looker, Power BI) and machine learning pipelines.
• Proven ability to manage large-scale data operations and cross-functional teams.

About You

You are a proactive, team-oriented leader passionate about driving data-driven innovation. With a strong foundation in data architecture and Agile practices, you thrive in dynamic environments and excel at delivering impactful solutions that align with business goals.