- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Education
- Bachelor
- Closing date
- Today
- Source
- CareersPage
Description
Enterprise Data Platform Architect
Contract-to-Hire | Fully Remote (occasional client-site travel for workshops and presentations)
No C2C | Must be a U.S. Permanent Resident (Green Card holder or Citizen)
We are a growing data and analytics consulting firm seeking an experienced Enterprise Architect to lead the design, architecture, and technical delivery of enterprise data platform solutions.
In this role, you will architect cloud lakehouse platforms, event-driven data distribution using publish/subscribe patterns, and the integration architecture that connects operational systems, applications, and analytics, turning enterprise data into trusted, decision-ready assets.
This is a technical architecture role, not a project management position. That said, the ideal candidate is an exceptionally strong communicator who is comfortable presenting to and advising C-level executives on the client side. You will be the person in the room translating complex technical concepts into business value.
What You'll Do
Client Advisory and Leadership
- Partner with clients to understand their business goals and technical requirements, conducting workshops and proof-of-concept projects to demonstrate value
- Develop solution implementation roadmaps, project plans, and task breakdowns and guide engineering teams through delivery
- Provide technical expertise during pre-sales, articulating the value proposition of proposed solutions, including ROI and TCO analysis, to client stakeholders up to the C-level
Data Platform and Cloud Solution Architecture
- Develop comprehensive data architecture that unifies enterprise data across disparate systems
- Design scalable, flexible solutions that integrate cloud, on-premises, and SaaS platforms
- Architect lakehouse solutions that combine data lakes and warehouses for scalable, cost-effective processing, with clear layer ownership between operational serving and analytics consumption
- Design event-driven data distribution using publish/subscribe patterns including topic design, schema management, and state/change-event streams that feed downstream operational systems in near-real time
- Design pipelines and orchestration that reliably ingest, transform, and process data across batch, API, and streaming integration patterns
Analytics, AI, and Governance Enablement
- Architect reporting and analytics solutions using BI platforms
- Develop architectures that enable organizations to unlock predictive and generative insights
- Design governance and data quality frameworks, and architect how MDM platforms interoperate with the broader lakehouse, streaming, and operational landscape
Implementation and Team Enablement
- Guide implementation teams, establish best practices, and ensure solution quality
- Deliver high-quality technical documentation including architecture diagrams, solution blueprints, integration patterns, and TCO models
- Mentor junior architects, consultants, and engineers
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- 5+ years of experience in solution architecture or technical consulting
- Experience designing and implementing enterprise-scale data platform solutions
- Strong expertise in cloud platforms (AWS, Azure, GCP) and hybrid architecture
- Knowledge of modern data platform and lakehouse concepts for flexible analytics
- Familiarity with Databricks (Delta Lake, Unity Catalog, medallion architectures) or Snowflake required
- Experience with Informatica (IDMC or similar MDM/PIM platforms) required and related product management tools.
- Proficiency in data integration patterns, API design, and system interoperability
- Experience with event-driven architectures and publish/subscribe messaging
- Experience with data quality and governance frameworks
- Technical skills in SQL and at least one programming language (Python preferred)
- Experience gathering business requirements and translating them into technical specifications and designs
- Demonstrated ability to lead technical teams and manage work delegation
- Strong understanding of security, compliance, and governance in cloud architectures
- Excellent communication and presentation skills with the ability to engage effectively with C-level stakeholders
- Consulting experience with demonstrated ability to manage client relationships and lead engagements from strategy through implementation
Preferred Qualifications
- Experience serving healthcare organizations
- Working knowledge of healthcare compliance and privacy standards (e.g., HIPAA) and experience designing data architectures that handle regulated data appropriately
- Experience with Apache Kafka or comparable streaming platforms, including topic design, schema management, and change-data-capture patterns
- Familiarity with CRM and business application ecosystems
- Experience with AI/ML implementation and integration with data platforms
- Experience designing or building custom applications and frontends on top of data platforms
- Experience with infrastructure automation using Terraform or similar tools
- Cloud certifications (AWS, Azure, Databricks, etc.)