Principal Data Architect, Healthcare, New England Remote, 160 - 200k base,

Principal Data Architect, Healthcare, New England Remote, 160 – 200k base, bonus

Compensation Commensurate with experience, bonus, benefits, EOE, diverse highly educated culture. Candidates must be a U.S. citizen or national, refugee, asylum, or lawful permanent residents.

Summary

Our client’s IT is undergoing growth and transformation, with many strategic initiatives this year.

Our client is on a mission to improve the health and well-being of the members and patients we so proudly serve. We deliver unparalleled, compassionate care to people with significant needs—driving incredible outcomes in the process. Our innovative uncommon care model is proven effective in addressing unmet social determinants of health, behavioral health, and medical needs. When you join the our client’s family, you get to collaborate with innovative, creative, and compassionate individuals who come to work every day with a sense of purpose and a passion for helping others. And, you’ll receive excellent compensation and benefits for your efforts!

The Principal Data Architect, Director will lead and support 0ur client’s organization's vision to deliver transformative data services platform services and analytic services for the Enterprise by enabling software developers, analytic partners, and other key stakeholders to deliver data, analytics, and platforms by providing expertise on technology, architecture, and design.

The Principal Data Architect Director will report to the CTO.

Responsibilities

· Lead data architecture initiatives that span many value streams and products, helping to ensure successful product deliveries. You will influence and lead teams across the business units.

· The Principal Data Architect Director will be responsible for initiating and delivering a contemporary enterprise data architecture strategy and roadmap that aligns and supports each of the Our clients's business unit strategies. This includes driving the Enterprise Data Mesh/Fabric architecture and roadmap.

· The Principal Data Architect Director is responsible for delivering enterprise data capabilities which enable the business to realize value through consistent, accurate, reliable, and high-quality data, and will ensure that the data ecosystem is easy to evolve, triage, and support. Applying a wide range of Big Data and cloud technologies, solutions and approaches, the data pipelines and data assets must scale to support consumption by thousands of business intelligence, performance analytics, and data science consumers across the enterprise.

· Additionally, the Principal Data Architect Director will evaluate and assess existing legacy data assets with an eye towards modernization and simplification. He/she will provide data architectural consulting and recommendations to delivery teams, programs, projects, and initiatives. Working closely with IT solution architects, he/she will support business and IT strategic planning processes and ensures that data architectural designs contemplate excellent end-to-end outcomes.

What You'll Be Doing Daily

· Develop and maintain an aspirational data architectural road map for the enterprise.

· Provide architectural direction and oversight on the initiatives in enterprise data and analytics.

· Collaborate with Product Managers/Owners, end-users, operational leadership, and subject matter experts to understand current and future goals/requirements.

· Ability to build and articulate a data architecture and delivery roadmap indicating current, transition, and future state architectures, focused on clear benefits to data science, business intelligence and performance analytics consumers, as well as the IT/data delivery communities.

· Defining the data architecture framework, standards, and best practices, principles, and patterns.

· Develop architectural blueprints and strategies for the current state, transition, and future state with the pragmatic approach that aligns with the data strategy

· Recommend modern technology stacks and enable adoption to meet business objectives

· Collaborate and coordinate with enterprise architecture teams and solution architects within the organization.

· Gain organizational commitment for enterprise level data architecture and data infrastructure initiatives.

· Stay current and informed on emerging technologies; Prototype, analyze, and develop a point of view on core, enabling, and emerging technologies.

· Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting directional recommendations.

· Identify core common data shared across the enterprise and participate in enterprise-wide efforts to reach common understanding of that data.

· Design and evolve metadata management practices and metadata-driven integration strategies

· Adapt and work with team members of various experience levels and mentor/coach the team

· Conduct proof of concept activities with key business users in support of advanced use cases.

· Participates as an evaluator and negotiator for procurements related to data and analytics activities

· Lead the charge of periodic architecture related Capability Assessments and provide reports and recommendations to leadership to continuously advance our architecture

· Acts as the point of escalation and serves as an expert on Data as well as assisting in the identification, analysis and resolution of data driven problems

· Provide technical and architectural subject matter expertise to program, project, and initiative teams; oversee activities to preserve the architectural vision.

· Establish and facilitate Data Design Review Board / Community of Practice to oversee design activities to preserve the architectural vision.

· Participate in Enterprise Data Governance Councils

Qualifications

· Thought leader with 15+ years of experience in Data Architecture, Data Engineering and Governance. Lead data architecture initiatives for many value streams (e.g., Agile/SAFe Release Train).

· Experience with enterprise multi-tenant SaaS applications

· Expert with RDBMS and/or NoSQL databases. Understands the benefits and trade-offs of both. Familiar with normalization and denormalization, sharing, and other data-centric patterns

· Strong implementation experience in implementing Enterprise Data Foundation Solutions and Master Data Management Capabilities

· Expert with RDBMS and/or NoSQL databases. Understands the benefits and trade-offs of both. Familiar with normalization and denormalization, sharing, and other data-centric patterns

· Nice-To-Haves

· Experience with architecture concepts like Data Lakes, Data Mesh and Data Lakehouse

· Experience with AI / Machine Learning / NLP / RPA.

· Experience with micro-services and Domain Driven Design (DDD)

· Experience with Data Ops

· Experience with SAFe Development Principles

Experience Required:

· Thought leader with 15+ years of experience in Data Architecture, Data Engineering and Governance. Lead data architecture initiatives for many value streams (e.g., Agile/SAFe Release Train).

· Experience building production-hardened data applications, with consideration for security, performance, scalability, reliability, and repeatability.

· Experience with enterprise multi-tenant SaaS applications

· Experience building or operating a data pipeline (ETL and Streaming)

· Experience working with healthcare data and regulations.

· Experience working with production services and designing smooth deployment processes via Data Ops, ideally in Azure or GCP.

· Experience in leading data architecture initiatives and developing transformation architecture for the project/product initiatives.

· Proven experience to demonstrate/present the data architecture to the leadership/executives, enterprise architects, and solution developers.

· Experience in facilitating discussions and getting consensus with enterprise architects and solution architects.

· Experience in defining data strategy and building data architectures.

· Strong implementation experience in implementing Enterprise Data Foundation Solutions and Master Data Management Capabilities

· Experience in defining integration patterns, standards, and best practices.

· Experience with architecture concepts like Data Lakes, Data Mesh and Data Lakehouse

· Experience with AI / Machine Learning / NLP / RPA.

· Experience with micro-services and Domain Driven Design (DDD)

· Experience with Data Ops

· Experience with SAFe Development Principles

· Expert with distributed computing architectures, including race conditions, parallelism, and concurrency control

· Expert with RDBMS and/or NoSQL databases. Understands the benefits and trade-offs of both. Familiar with normalization and denormalization, sharing, and other data-centric patterns

· Excellent collaboration, influencing, evangelization, negotiation, coaching, mentoring, and coalition-building skills. Ability to work with people at all levels, from the most junior person to VP levels, in all job functions (e.g., product, UX, developers, QA, DevOps).

· Excellent verbal and written communications

· Ability to manage multiple competing priorities with minimal supervision. Self-directed

· A great team player, with demonstrable experience delivering superior software products via agile methodologies.

· Ability to influence new technology trends and standards.

· Ability to influence architecture decisions to solve business problems/needs.

· Ability to work in a competing and transformational environment.

· Solid understanding of the cloud providers options for data pipelines, data management, data streaming, and data analytics (e.g., Snowflake, Talend, Azure/GCP solutions and platforms)