ConnectedX, Inc.
Overview
Role:
Data Architect Location:
Plano, TX Duration:
12 Months 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 Toyota’s 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: Databricks, Snowflake, 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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Role:
Data Architect Location:
Plano, TX Duration:
12 Months 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 Toyota’s 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: Databricks, Snowflake, 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)
#J-18808-Ljbffr