What are the responsibilities and job description for the AWS Data Architect position at ConnectedX, Inc.?
Job Details
Need consultants local to Plano, TX with 14 years of experience.
AWS 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 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 Client 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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