About the Job: Enterprise Data Architecture Consultant We are seeking a highly skilled and experienced Enterprise Data Architecture Consultant to join our Enterprise Architecture team. This fully remote role offers a unique opportunity to influence and contribute to our strategic data initiatives in a significant way. You will be responsible for developing comprehensive data architecture plans and leading the execution of these plans in partnership with both business and IT stakeholders. The focus areas include cloud data transformation, data governance, analytics, Master Data Management (MDM), and data quality, with a strong emphasis on leveraging cloud technologies to enhance our data-driven decision-making capabilities.
Compensation: $160,000 - $200,000 + Annual Incentive Bonus + Signing Bonus + Full Benefits + Paid Relocation
Essential Duties and Responsibilities: Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Recommend long-term direction on strategic advancements within the technical portfolio. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities. Define cloud reference architectures to promote reusable patterns and best practices for data integration and consumption. Guide the data science team in implementing data models and analytics solutions. Advise application development teams in the data design of complex solutions, ensuring alignment with the data architecture principles. Minimum Position Qualifications: Strong cloud data architecture knowledge with a preference for Microsoft Azure. Proven experience in developing architecture strategies and plans for cloud data transformation, MDM, data governance, and data science capabilities. Expertise in designing reusable data architecture and best practices for various data ingestion and integration scenarios. Leadership in software evaluations including RFP development, capabilities assessment, and delivery of executive presentations. Comprehensive knowledge in the Data domains including Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, and ETL systems. Demonstrated ability to communicate complex data concepts to a variety of audiences. Extensive experience with Azure cloud data technologies and big data technologies such as Cloudera, Spark, and Kafka. At least 17 years of relevant experience or a combination of education and experience in related fields. Preferred Qualifications: Experience with Microsoft CoPilot is highly desirable. Exposure to TensorFlow, Python NLTK, and other advanced analytical tools. Skills: Profound knowledge in Microsoft Azure cloud services and big data technologies. Ability to lead cross-functional teams and projects. Strong analytical skills with the capacity to handle complex data scenarios. Excellent communication and interpersonal skills. Strong strategic planning and organizational skills.
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