Data Architect Onsite/Hybrid Position in Austin TX Local to Texas

Overview

On Site

Hybrid

$80 - $90

Accepts corp to corp applications

Contract - W2

Contract - 8 Month(s)

Skills

Accessibility

Advanced Analytics

Amazon Web Services

Analytics

Artificial Intelligence

Big Data

Business Intelligence

Cisco Certifications

Cloud Computing

Cloud Security

Communication

Data Architecture

Data Integration

Data Modeling

Data Storage

Data Warehouse

Database

Emerging Technologies

Exceed

Extract

Transform

Load

Google Cloud

HL7

Google Cloud Platform

Informatica

Health Care

Machine Learning (ML)

SQL

Snow Flake Schema

Streaming

Reporting

Usability

Real-time

Microsoft Azure

Management

IaaS

Job Details

CANDIDATE SKILLS AND QUALIFICATIONS

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 on-prem and cloud technologies
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.

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Job Details

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