Lead Domain Architect

ABOUT THE ROLE:

The Lead Domain Architect role is responsible for integrating leading technologies in the design of complex technology solutions within the Data Engineering and Analytics domain, while considering business goals, technical feasibility, and long-term scalability. The incumbent will provide strategic direction, training and mentoring to various stakeholders across the business in the IT-aligned business functional areas using their deep expertise in their specific domain. The role will lead the architecture and development of solutions aligned with the overall business and technology strategy and roadmap, ensuring business functional outcomes are achieved and the architectural runway is in place at the functional level. The incumbent will foster collaboration among stakeholders to understand business needs and implement the best solutions to meet their needs, while ensuring alignment with overall IT strategy and roadmap.

WHAT THE ROLE WILL DO:

Integrate and refine architecture designs that are aligned to the organization's business goals (e.g., speed, reliability, scalability)

Leverage expertise in domain-driven design principals to improve upon conceptual and logical models and advocate for their organization-wide adoption in adherence to architectural principles, policies, standards, and frameworks

Create detailed execution plans to implement recommendations for solution designs and ensure consistency and compliance with architecture principles, policies, standards, and frameworks

Influence business strategies and execution models by providing insights on how updated end to end delivery capabilities can drive business goals

Foster collaboration among various stakeholders across the business, ensuring seamless communication and alignment of architectural principles, policies, standards, and frameworks in a unified manner

Provide technical expertise and training opportunities to empower technical teams in support of the implementation of solution design

Drive strategic communication regarding technical considerations and impacts to stakeholders helping them understand implications in detail

Maintain and leverage strong business networks to ensure ongoing alignment between business operations and IT strategy

Contribute to and influence the development of the overall IT strategy and roadmap, proposing innovative solutions that drive business goals

Evaluate emerging technologies and trends to help the organization maintain a competitive advantage, driving innovation within the organization

This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa.

This position has a hybrid work schedule with three days in the office and the option for working remotely two days.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.

WHAT THE INCUMBENT WILL NEED:

Education

Required: Bachelor's degree in computer science, Information Systems, or in lieu of a degree, at least 13 years of experience in IT

Preferred: TOGAF Certification

Required Knowledge, Skills, and Experience

10-12 years of experience in data engineering and designing solutions including analytics solutions.

Proven track record in designing and architecting complex systems at the functional or enterprise level

experience with technology integration and the design of interfaces between systems

experience with Software Development Lifecycle Methodologies (Agile, Waterfall, etc.)

Proven track record in working with enterprise application integration and service-oriented architecture

Technical Skills

Virtualization Technologies

Enterprise Storage Architecture

Cloud Technologies & Platforms

Web Services, APIs, Microservices, and SOA

Application Architecture

Data Architecture

Analytics Architectures

Project Management Methodology

Architecture Governance & Standards

Solution Architecture Patterns

Software Development Lifecycle (SDLC) Methodology

Emerging Technologies and Automation Tools

Technology Cost Optimization

Domain Knowledge

Change Management

Preferred Knowledge, Skills, and Experience

Proficiency in Data Modeling and Database Design: Strong understanding of data modeling techniques and database design principles

Proficiency in data virtualization, ontology

Cloud Platforms: Experience with cloud services like Azure, Snowflake, IDMC, MicroStrategy, Tableau, Business Objects, Power BI

Extensive Experience in Data Architecture: Proven track record in designing and implementing data architectures

Data engineering standards, background in Dev/Ops, and ML/OPS practices

Github, Jenkins, JIRA

Automated testing in analytics