Data Architect
Purple Drive
Overview: Title: Data Architect Location: Geographically Diverse (Remote/Hybrid) Experience Level: Senior (8-12+ Years) Employment Type: Contract Job Summary We are seeking a Senior Data Architect to design, implement, and optimize enterprise data solutions across multiple cloud platforms. The ideal candidate will have deep expertise in data architecture, governance, modeling, and modern cloud ecosystems such as Azure Data Lake, AWS, Snowflake, and Databricks . This role requires a blend of strategic vision and hands-on technical proficiency to shape the organization's data landscape and drive innovation. Key Responsibilities
- Design and implement enterprise-scale data architectures that align with business objectives.
- Develop and manage data models, warehousing, and integration strategies across diverse systems.
- Architect and optimize cloud-based data platforms including Azure, AWS, Snowflake, and Databricks.
- Establish and enforce data governance, security, and compliance frameworks .
- Collaborate with cross-functional teams to enable scalable, high-performance data pipelines and analytics.
- Define best practices for data lifecycle management, metadata, and master data management (MDM) .
- Provide strategic leadership in adopting new data technologies and architectural patterns.
- Mentor and guide data engineering teams to ensure architectural consistency and quality.
- 8-12+ years of experience in data architecture and engineering .
- Strong expertise in cloud data ecosystems (Azure Data Lake, AWS, Snowflake, Databricks).
- Proven experience in data modeling, data warehousing, and data integration design.
- Advanced understanding of data governance, privacy, and compliance frameworks (GDPR, HIPAA, etc.).
- Proficiency in SQL, ETL tools , and modern data pipeline orchestration frameworks.
- Strong communication and stakeholder management skills with the ability to translate business needs into technical solutions.
- Hands-on experience with big data frameworks , data lakehouse architectures , and real-time data processing .
- Experience with machine learning data pipelines and AI-driven analytics architectures .
- Familiarity with DevOps, CI/CD, and infrastructure-as-code (IaC) concepts.
- Certifications in cloud architecture or data engineering (AWS Certified Data Analytics, Azure Data Engineer, etc.) are highly preferred.
Vacancy posted 3 days ago
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