Job Description

The Data Architect will play a lead role for helping define, implement and evolve key architectural components of the enterprise data lake ecosystem underlying the digital transformation and supporting enterprise wide analytics, AI/ML, and BI. These include the enterprise hybrid data lake on-premise and on the public cloud, operational data store (ODS), and numerous data stores supporting a highly scalable domain driven design. The role will focus on several aspects of the data architecture as follows:

* Define the modern distributed data lake product architecture leveraging a hybrid cloud environment, distributed data pipelines, and incorporating automated governance and zero trust security processes.
* Define data strategies for CCB sub lines of business, and collaborate to build multi-generational roadmaps
* Research, evaluate and select champion tools in the marketplace to meet the metadata capture and management needs of modern data architectures deployed at scale.
* Drive data domain (DDD based) modeling, data engineering and data resiliency design standards across the microservices and analytics applications fabric for autonomy, agility and scale.
* Define integration patterns for real-time events captured from the microservices fabric into a big data ecosystem supporting traditional BI and analytics as well as embedding and operationalizing Artificial Intelligence patterns such as Machine Learning into the microservices fabric.
* Work with the Lead Architects, Chief Information Architects, and CTOs on general and specific data strategies, solutions and technical guidance using industry standards and domain specific best practices.
* Guide agile teams in applying these patterns to key software products and will guide software engineering teams in implementing customer-driven autonomous application architectures.
* Act in the role of lead design authority to include: breaking down business requirements into technical tasks, establishing design and coding standards, performing code reviews, etc.
* Ensure that proper data management rigor is in place so that users are confident in the quality of the data.

This position is global in reach, working with teams across the US, Singapore and India. Our digital business is highly innovative, and technologies we rely upon are ever changing. Our teams are agile in nature, and are rapidly taking on new capabilities, tools and methods including Automation, DevOps, and Cloud. Successful candidates will demonstrate technical acumen across a broad reach of technologies, and have the proven ability to adapt to an ever changing environment.

This role requires a wide variety of strengths and capabilities, including:

* BS/BA degree or equivalent experience
* Expertise in data models, data pipeline concepts, and cloud based infrastructure disciplines such as Kubernetes, containerization, etc.
* Expertise in Data Centric Security architecture concepts and open standards
* Enterprise Architecture to large scale responsive, resilient, elastic and event driven systems, Hybrid Cloud-based architecture and Micro-Services and Domain Driven Design (DDD)
* Knowledge of distributed data technologies like AWS EMR, Redshift, and Snowflake.
* Expertise with event sourcing and event streaming. Specifically with technologies like Kafka, Spark, and Java.
* Expertise in architecture practices such as reference architecture, patterns, and governance
* Fluency in translating architectures into engineering designs
* Expertise with metadata management and schema management
* Expertise in data resiliency engineering at scale