IT Data Architect

IT Data Architect

Richardson, TX (On-site)

Contract

GC, USC

Video Interview

EC: Enterprise telecom

10+ years of enterprise data architecture experience with AWS (S3, Iceberg), data lakes & warehouses, complex data modeling, ETL/ELT pipeline design, Snowflake/Databricks, and strong stakeholder leadership.

Key Responsibilities

Lead the design and implementation of enterprise-wide data architecture solutions including data lakes, data warehouses, and cloud-native platforms

Develop and document current-state architecture diagrams, context diagrams, and data flow models

Define and design target-state data architecture aligned with enterprise data strategy

Translate business requirements into high-level and detailed technical data specifications

Design and maintain data models, schemas, and integration frameworks

Oversee and optimize ETL/ELT pipelines and large-scale data workflows

Architect solutions supporting high data volume, scalability, and performance

Ensure compliance with enterprise information security and governance standards

Lead adoption of emerging technologies and modern data platforms

Provide technical mentorship to data engineers and analysts

Collaborate effectively with cross-functional business and technical stakeholders

Required Qualifications

10+ years of experience designing and managing large-scale enterprise data architectures

Strong expertise in:

Data lakes and enterprise data warehouses

Complex cross-domain data modeling

Large-scale data integration across diverse systems

Extensive hands-on experience with:

AWS S3

Apache Iceberg

AWS cloud data services

Experience with Snowflake and Databricks is a strong plus

Deep understanding of enterprise data governance, compliance, and security standards

Proven ability to lead architecture initiatives and influence technical direction

Strong communication and stakeholder engagement skills

Must be able to work on-site in Richardson, TX

Nice to Have

Experience modernizing legacy data platforms

Experience implementing cloud-first data strategies

Background in high-volume enterprise environments