Job Specifications
Key Responsibilities:
As a Data Enterprise Architect, you will lead the discovery, assessment, and strategic evolution of our data and IT ecosystems.
Your contributions will ensure scalable, secure, and efficient solutions that align with business objectives.
Primary duties include:
1. Discovery and Assessment
Conduct in-depth analysis of current operations, tool usage, and data flows to identify strengths, gaps, and inefficiencies.
Evaluate the maturity of existing processes, tools, and technologies, including Azure data platforms, Informatica suite, AWS Connect, Salesforce, and Adobe Experience products.
Assess compliance with industry standards, performance metrics, and scalability needs for large-scale deployments.
2. Strategic Planning and Roadmap Development
Develop a comprehensive architecture strategy that integrates Azure data platform, Azure Databricks, and Informatica products to support digital marketing initiatives and operational efficiency.
Identify opportunities for process improvements, operational marketing efficiency, and innovation in cloud computing, contact center systems, and data analytics.
Create a holistic roadmap for consistent tool adoption, high availability, and reliability, incorporating redundancies, failover mechanisms, and data-driven recommendations.
3. Implementation, Integration, and Optimization
Design and implement scalable, secure solutions that ensure seamless integration between platforms, meeting business requirements for customer engagement and internal workflows.
Collaborate with cross-functional teams (IT, marketing, sales, customer service) to translate business needs into technical architectures.
Utilize data analytics to measure the effectiveness of digital marketing strategies and proactively optimize systems for performance and growth.
Ensure consistent usage of tools across the organization through hands-on implementation, training, and best practice guidance.
4. Ongoing Support and Innovation
Stay current with trends in digital marketing, data/AI architecture, cloud technologies, and operations contact center systems.
Maintain detailed documentation of system configurations, integrations, processes, and project progress.
Present reports on system performance, roadmap milestones, and stakeholder updates to drive informed decision-making.
Provide expert guidance and support to the team, fostering a culture of efficiency and collaboration.
Performance will be measured through milestones in roadmap delivery, stakeholder satisfaction, and contributions to AI foundational work.
High performers may see extensions or full-time offers within 6 months; underperformance could lead to early termination.
Required Qualifications:
Must-Have Skills and Experience
10+ years of progressive experience in IT architecture, data engineering, or related fields, with a proven track record in designing and implementing complex IT and digital marketing solutions.
Expert-level technical knowledge in IT architecture, application systems design, and integration for large-scale deployments.
Demonstrated experience in operations and digital marketing, with strong focus on:
AWS Connect for contact center operations.
Salesforce for CRM and customer engagement.
Adobe Experience product suite for digital marketing personalization and analytics.
Deep understanding of cloud computing (Azure preferred), operations contact center systems, digital marketing technologies, and data platform integration.
Nice-to-Have Skills:
Relevant certifications such as AWS Certified Solutions Architect, Salesforce Certified Administrator/Architect, or Adobe Experience Manager certifications.
ITIL v3 Foundation or higher certification for IT service management.
Strong grasp of relational data structures, theories, principles, and practices.
Proficiency in data warehousing methodologies and tools (e.g., ETL processes, data modeling).
Education:
Bachelor’s degree in Computer Science, Information Technology, Marketing, or a related field (required).
Master’s degree in a relevant discipline (preferred).
Soft Skills and Competencies:
Success in this role demands more than technical prowess; you must thrive in a fast-paced, collaborative environment:
Excellent problem-solving abilities to navigate dynamic challenges, including rapid changes driven by AI advancements.
Strong communication and collaboration skills to engage diverse stakeholders and provide clear guidance.
Adaptability and resilience to embrace frequent shifts in requirements and priorities.
Proactive mindset for identifying innovations and driving team efficiency.
Candidates lacking the must-have skills or demonstrating weak soft skills (e.g., poor collaboration) will be disqualified. No immediate red flags noted beyond these.
Challenges and Opportunities:
This role is intellectually stimulating but demanding due to its fast-evolving nature—AI-driven changes can shift priorities quickly, requiring agility and a willingness