Data Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Data Architect
Data Governance
Data Security
data modeling
AWS
Lambda
S3
OLTP
MDM
NoSQL
Python
IaC
CI/CD

Job Details

Need someone with 15+ years of experience and needs to be local to Plano, TX

Data Architect

Duration: Long Term Contract

Location: Plano, TX - Onsite

What We Are Looking For:

We are looking for an experienced Data Architect to lead the design and implementation of enterprise-scale data platforms and strategies for our automotive client. The ideal candidate will bring deep expertise in data architecture, data governance, cloud data platforms, and data modeling, with a proven track record of enabling data-driven decision-making in large, complex organizations.

Responsibilities:

  • Define and implement the overall data architecture strategy, ensuring alignment with Client business goals and digital initiatives.
  • Design scalable, secure, and high-performance data architectures across hybrid and cloud environments (AWS and Google Cloud Platform).
  • Ensure best practices in data security, privacy, and data encryption - in transit and at rest
  • Develop and maintain enterprise data models, data dictionaries, and metadata repositories.
  • Establish data governance frameworks, ensuring data quality, lineage, security, and compliance.
  • Collaborate with data engineers, analysts, product teams, and business stakeholders to identify data requirements and ensure optimal data flows.
  • Guide the development of data lakes, data warehouses, and real-time data platforms.
  • Evaluate and select appropriate technologies, tools, and platforms to meet architectural goals.
  • Drive data integration from various sources, including internal Toyota systems and third-party platforms.
  • Ensure best practices in data security, privacy, and regulatory compliance (e.g., GDPR, CCPA).
  • Support advanced analytics, AI/ML, and BI teams by designing robust data ecosystems.
  • Mentor and guide engineering teams on data architecture best practices and implementation strategies

Technical Skills:

  • Cloud & Data Platforms: AWS (Redshift, S3, Glue, Lambda, RDS, IAM), Google Cloud Platform (BigQuery, Pub/Sub, Dataflow), Azure (preferred)
  • Data Architecture: Enterprise Data Modeling, OLTP/OLAP Systems, Master Data Management (MDM), Data Vault, Dimensional Modeling
  • Data Governance & Quality: Collibra, Informatica, Apache Atlas, Data Lineage Tools, DQ Frameworks
  • Databases & Storage: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), Graph (Neo4j)
  • ETL/ELT & Orchestration: Apache Airflow, Informatica, Talend, dbt
  • Programming & Scripting: SQL, Python, Bash, Scala
  • DevOps & Infrastructure as Code: Terraform, CloudFormation, Docker, Kubernetes
  • Visualization & BI (Support): Power BI, Tableau, Looker (understanding required to support data design)
  • Security & Compliance: IAM, Data Encryption, PII Handling, Data Masking, Role-Based Access Controls (RBAC)
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