Partner with business leadership to identify problems, and opportunities for technology innovation.
Help establish a clear, consistent technology vision through collaboration, influence, and enablement.
Research, recommend, design and develop our Big Data Architecture.
Ensures system, technical and product architectures are aligned with business objectives.
Anticipates and manages technology evolution and relates it to business solutions. Sets direction based on alignment to business and overall technology standards.
Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.
Communicate effectively and convey complex ideas to a diverse set of audiences.
Craft guidance that helps delivery teams identify quality risk factors around security and compliance.
Identify and assess the organizational impact of enterprise Big Data Architecture and standards, including change in skills, processes and structures.
Accelerate delivery by forming a network of positive relationships with vendors, and other influencers within the enterprise and beyond.
Promote the company's technology brand through creative thinking, and constantly raising the bar of what's possible.
Coach and mentor team members to become stronger data engineers.
Who you are:
You have 8+ years demonstrating a high degree of proficiency in designing and engineering complex, high-quality data technical architectures and detailed designs.
You have 5+ years in a Data Architecture role architecting data warehouses and/or data lakes with big data technologies such as Hadoop, MapReduce, RedShift, Spark and ETLs.
You have depth and hands-on experience building Architecture best practices, deliverables and frameworks.
You have a track record of designing highly scalable data systems.
You are able to show a history of incrementally transitioning legacy data systems support modern, evolutionary architectures.
You have utilized one or more cloud-based platforms such as AWS, Azure, and Google Cloud for data systems.
You understand the consequences of concurrent systems, and how to mitigate potential issues.
You have proven expertise in a variety of database technologies, from Oracle to NoSQL systems and can explain their varied use cases.
You have developed strategies for data movement, enterprise data warehouses, data lakes and the operational reporting.
You have deep knowledge of how to secure complex data systems and infrastructure against different attack vectors.
You have experience in decision making for build vs buy scenarios, and how to break down the pros and cons for both.
You've designed systems spanning a variety of modern architectural paradigms.