Principal Enterprise Data Architect – MySQL, CDC, Streaming & Data Platform Architecture
Location: Remote – USA
Employment Type: Contract (6+ Months)
Experience Required: 10+
Job Overview
Kinective is seeking a hands-on Principal Enterprise Data Architect with a strong engineering and development background to design and evolve scalable enterprise data platforms.
The ideal candidate will architect enterprise data foundations covering data ingestion, storage, processing, integration, and serving to support operational, analytical, and AI-driven business requirements. This role requires expertise in enterprise data architecture, MySQL, CDC, streaming, shared business semantics, data governance, security, and reusable data-platform capabilities.
This is a hands-on Principal Individual Contributor (IC) position requiring the ability to influence architecture decisions and drive adoption across multiple product and engineering teams.
Key Responsibilities
Design and evolve scalable enterprise data platforms to support increasing data volumes, ingestion rates, workload concurrency, freshness, reliability, and cost efficiency.
Define target-state and transition-state architectures across operational systems, CDC, streaming, batch processing, event/API integration, storage, and analytical platforms.
Design shared business semantics, canonical data entities, identity resolution, master/reference data, authoritative sources, and reconciliation patterns.
Establish reusable data-platform capabilities, data products, data contracts, event patterns, governed interfaces, and implementation templates.
Implement practical metadata, data lineage, data quality, observability, ownership, and federated governance frameworks.
Architect secure data access solutions addressing privacy, compliance, PII protection, tenant isolation, data retention, and auditability.
Design governed and permission-aware data access for AI consumption, including data provenance and metadata controls.
Develop architecture roadmaps, reference implementations, and measurable outcomes.
Influence executives, architects, and engineering teams to drive enterprise-wide architecture adoption.
Mandatory Technical Skills
Enterprise Data Architecture and scalable Data Platform Architecture.
Strong hands-on database engineering and development background, including MySQL.
Data ingestion, storage, processing, and serving architectures.
Change Data Capture (CDC) and streaming architectures.
Batch processing and event/API integration patterns.
Operational, analytical, and application-serving data architectures.
Shared business semantics and canonical data modeling.
Master Data Management (MDM), reference data, and identity resolution.
Schema evolution and data reconciliation.
Data contracts, event patterns, and reusable data products.
Metadata management, data lineage, data quality, and observability.
Federated data governance and data ownership.
Data security, privacy, PII protection, and tenant isolation.
Governed and permission-aware data access for AI consumption.
Required Qualifications
Demonstrated experience designing or evolving enterprise data platforms supporting substantial business and data growth.
Strong architecture and engineering experience across operational and analytical data environments.
Ability to define target-state and transition-state enterprise data architectures.
Experience establishing shared data models, authoritative sources, canonical entities, and reconciliation processes.
Proven ability to build reusable platform capabilities adopted by multiple engineering or product teams.
Experience designing secure, governed data environments, preferably in regulated industries.
Ability to translate architecture strategy into implementation roadmaps and measurable business outcomes.
Comfortable working as a hands-on Principal Individual Contributor without relying on direct management authority.
Preferred Skills
Experience integrating heterogeneous enterprise products and systems.
Database operations expertise as part of broader enterprise data architecture experience.
Experience supporting AI-driven data consumption and evolving analytical requirements.
Work Arrangement
Application Instructions
Interested and qualified candidates are requested to share their updated resume and contact details for consideration.
