Job Description

Role: Data Architect

Location: Plano, TX

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's business goals and digital initiatives.
• Design scalable, secure, and high-performance data architectures across hybrid and cloud environments (AWS and GCP).
• 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 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), GCP (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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