Role Responsibilities

As Advisor

The EABD de?nes patterns, builds reference models, and stewards technology roadmaps to drive best practices, coach project delivery teams at key milestones, and continuously drive innovation and improvement of Big Data.

Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management.

As Steward

Key priorities will include reducing risk like tech debt or reducing total cost of ownership of existing data assets and tools. To do so, the EABD must be able to educate, guide, and influence stakeholders, IT delivery teams, and IT leaders to work towards best practices and standards set in architectural patterns.

This architect teams with other architects to facilitate governance processes like the ARB, TRB, and annual planning. They steward architectural patterns set by key stakeholders with an annual value realization review or IT audit.

As Strategist

This key contributor de?nes, in?uences, and evolves the Big Data strategy, standards, and roadmap to future proof and democratize our data ecosystem. This may include how ingestion, harmonization, normalization, container, curation, and analytics technologies create relevant business value and drive measurable business outcomes.

Required

Qualifications & Experience

• Bachelor’s degree in Computer Science, Information Systems, or relevant equivalent.
• At least 8 years of experience evolving Big Data ecosystems with hands on experience as a data engineer or DBA.
• Minimum 5 years as a Data Architect with thought leadership experience building product roadmaps, influencing stakeholders and delivering to measurable outcomes.
• Working technical knowledge and experience with data science and machine learning (e.g, heuristic and predictive analytics), Big Data (e.g., data lakes, containers), MDM, MDG, and data operations. Solid understanding of data ingestion, harmonization, containment, curation, and analytics is key.
• Experience and working knowledge of enterprise tools, MDM, and Big Data products like Informatica, SAP SAC, Oracle, Tableau, Salesforce, etc. PaaS and DaaS knowledge is key.
• Solid knowledge and experience with enterprise architecture frameworks like TOGAF.

Desired

• Resilient and dependable thought Leader with high EQ and excellent listening skills. Proactive, methodical, independent, and well-organized team member that can clearly articulate technical concepts to non-experts.
• Strong business and technical acumen with a bias towards incremental change and measurable business outcomes.
• Cloud computing experience using GCP, Amazon, AWS, Microsoft Azure, or any combination of at least 2. Enterprise Architecture experience
• Collaborative team member that knows how to capture, publish, communicate, and influence standards and best practices.
• Strong critical thinking skills with bias towards business KPIs like:
• Cost Leadership (reducing TCO, increasing profitability or revenues)
• Customer satisfaction and intimacy
• Operational discipline and effectiveness (reduce risk or increase productivity)
• Product/service differentiation

Key Skills: