Senior Solution Architect / Senior Data Architect

Role Description

We are seeking an experienced Senior Solution Architect / Senior Data Architect to lead the design, architecture, and governance of enterprise-scale data and analytics platforms. The ideal candidate will be responsible for defining technology strategies, architecting scalable solutions, guiding development teams, and ensuring alignment with business objectives, security standards, and industry best practices.

This role requires deep expertise in data architecture, cloud platforms, data engineering, analytics ecosystems, and enterprise integration patterns. The successful candidate will provide technical leadership across multiple initiatives while mentoring architects, engineers, and project teams.

Key Responsibilities

• Architecture & Solution Design
  • Provide architecture guidance and technical leadership across enterprise data and analytics initiatives.
  • Design end-to-end data solutions that align with business requirements, scalability needs, and enterprise architecture standards.
  • Develop and maintain enterprise data architecture roadmaps and reference architectures.
  • Define solution patterns, frameworks, and best practices for data integration, storage, processing, and analytics.
  • Evaluate and recommend technologies, tools, and platforms to support strategic business goals.
• Data Architecture & Modeling
  • Lead the design of conceptual, logical, and physical data models.
  • Establish data architecture standards, naming conventions, and modeling best practices.
  • Guide teams in designing scalable and high-performance data warehouses, data lakes, lakehouses, and analytical platforms.
  • Ensure data consistency, quality, integrity, and accessibility across enterprise systems.
  • Support master data management (MDM), metadata management, and data lineage initiatives.
• Technical Leadership
  • Provide hands-on technical guidance to solution architects, data engineers, developers, and analysts.
  • Lead architecture reviews and design validation sessions.
  • Identify technical risks and propose mitigation strategies.
  • Drive adoption of modern data engineering and cloud architecture practices.
  • Collaborate with business stakeholders to translate requirements into technical solutions.
• Security, Governance & Compliance
  • Define and enforce data governance frameworks and standards.
  • Provide security architecture guidance to ensure compliance with organizational and regulatory requirements.
  • Establish controls for data privacy, access management, encryption, auditing, and monitoring.
  • Support governance initiatives related to data quality, retention, lineage, and compliance.
  • Ensure solutions adhere to industry standards and best practices.
• Stakeholder Management
  • Partner with business leaders, product owners, program managers, and technical teams to define strategic initiatives.
  • Present architectural recommendations and technical roadmaps to executive leadership.
  • Facilitate discussions between business and technical stakeholders to align priorities and expectations.
  • Support proposal development, solution estimation, and technical planning activities.
• Mentoring & Team Development
  • Mentor and coach architects, engineers, and technical leads.
  • Promote knowledge sharing and continuous improvement across teams.
  • Conduct architecture workshops, technical reviews, and training sessions.
  • Foster a culture of innovation, collaboration, and engineering excellence.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 12+ years of experience in data architecture, solution architecture, or enterprise architecture roles.
• Extensive experience designing enterprise-scale data platforms and analytics solutions.
• Strong expertise in data modeling, data warehousing, data lakes, and modern data architectures.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data integration, ETL/ELT, API design, and distributed systems.
• Experience leading architecture reviews and governance processes.
• Strong communication, leadership, and stakeholder management skills.

Preferred Qualifications

• Master's degree in Computer Science, Data Science, Information Systems, or a related field.
• Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or similar technologies.
• Experience with real-time streaming architectures and event-driven systems.
• Enterprise architecture certifications (TOGAF, Zachman, etc.).
• Cloud architecture certifications from AWS, Azure, or Google Cloud.
• Experience working in Agile and DevOps environments.

Technical Skills

• Data Architecture & Data Modeling
• Enterprise Solution Architecture
• Cloud Data Platforms (AWS, Azure, GCP)
• Data Warehousing & Lakehouse Architectures
• Databricks, Snowflake, Microsoft Fabric
• ETL/ELT Frameworks
• SQL and Data Engineering Technologies
• Data Governance & Metadata Management
• Security Architecture & Compliance
• API & Integration Architecture
• Performance Optimization & Scalability Design
• CI/CD and DevOps Practice

Key Competencies

• Strategic Thinking
• Enterprise Architecture Leadership
• Problem Solving and Decision Making
• Stakeholder Management
• Technical Mentorship
• Communication and Presentation Skills
• Risk Management
• Innovation and Continuous Improvement

Success Measures

• Delivery of scalable, secure, and high-performing data solutions.
• Successful adoption of architecture standards and governance frameworks.
• Improved data quality, accessibility, and operational efficiency.
• Effective mentoring and development of technical teams.
• Alignment of technology solutions with business objectives and enterprise strategy.