Senior Data Architect & Analytics Lead - Hybrid, must be local to Austin, TX (SAM)

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Amazon Web Services
Artificial Intelligence
Big Data
Business Intelligence
Cisco Certifications
Cloud Computing
Data Architecture
Data Integration
Data Modeling
Data Storage
Data Warehouse
Database
Extract
Transform
Load
Google Cloud Platform
Health Care
Microsoft Azure
Python
SQL
Scala
Java
TOGAF
Snow Flake Schema
Solution Architecture

Job Details

Hybrid in Austin, TX (Mon, Wed, Thurs onsite)

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

10

Required

Experience in data architecture, data modeling, and data warehousing.

10

Required

Experience with business intelligence and big data solutions.

10

Required

Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.

10

Required

Proven experience in leading and managing advanced analytics projects.

10

Required

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.

10

Required

Experience in developing, deploying, and managing applications and data storage on these platforms.

10

Required

Strong knowledge of data architecture principles and best practices.

10

Required

Proficiency in SQL and other database technologies.

10

Required

Knowledge of advanced analytics tools and strategies.

10

Required

Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.

10

Required

Ability to lead teams and manage complex projects.

10

Required

Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud.

10

Required

Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.

10

Required

Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.

10

Required

Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.

10

Required

Experience with ETL tools, data integration platforms, and APIs.

10

Required

Experience with EHR integration, APIs, and real-time streaming.

10

Required

Experience in architecting and designing ETL pipelines using Informatica tools.

10

Required

Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.

8

Preferred

Experience in implementing and deploying big data applications

8

Preferred

Must have hands-on expertise in Python and/or Java/Scala

8

Preferred

Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps

8

Preferred

Healthcare industry experience preferred

8

Preferred

Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.

8

Preferred

Consulting and Facilitation Skills.

8

Preferred

Customer-focused ability to communicate across all levels of the organization.

8

Preferred

Proactive Leadership style; self-starter and strong attention to detail.

3

Preferred

The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS) and/or Google Cloud Platform (Google Cloud Platform) Certification.

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