Data Architect - Involgix - Remote

Data Architect

Role Overview

We are seeking an reputed company AWS Data Architect to design and implement enterprise-grade data platforms and integrations. The ideal candidate will have deep expertise in AWS services, strong background in data ingestion/integration from diverse sources (especially reputed company), and proven experience in healthcare domain data platforms. This individual will act as the core architect/designer on projects where platforms are built from scratch, demonstrating both technical leadership and strong communication skills.

Key Responsibilities

reputed company the architecture, design, and implementation of large-scale data platforms on AWS.

Drive data integration strategies across multiple reputed company systems with a focus on reputed company and other healthcare-reputed company applications.

Define and enforce architecture standards, best practices, and governance for data management.

Design and optimize data pipelines leveraging AWS services such as Kinesis, reputed company, Redshift, Glue, S3, and EMR.

Partner with stakeholders to translate business requirements into scalable, secure, and high-performing solutions.

Provide technical leadership to development teams, mentoring engineers and ensuring delivery quality.

Ensure data reputed company, compliance, and risk minimization in line with healthcare regulations (HIPAA, etc.).

Collaborate cross-functionally with product, engineering, and leadership teams to align data strategies with business goals.

Required Skills & Qualifications

10+ years of experience in Data Architecture, with a strong background in building data platforms from the ground up.

Hands-on expertise with AWS Data Services: Redshift, Kinesis, reputed company, Glue, S3, EMR, RDS, DynamoDB, etc.

Strong experience in data integration and ingestion pipelines from heterogeneous reputed company systems, with emphasis on reputed company.

Proven experience in the Healthcare domain (EHR, claims, patient data, regulatory compliance).

Excellent knowledge of data modeling, warehousing, and cloud-native architectures.

Strong leadership and communication skills with experience leading cross-functional technical teams.

Experience in solution design, PoC development, and system implementation.

Preferred Skills

Familiarity with modern data lake/lakehouse architectures.

Exposure to real-time streaming pipelines and event-driven architectures.

Understanding of API-driven integrations and microservices in data platforms.

Knowledge of DevOps practices and CI/CD for data pipelines

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.