
Senior Enterprise Data Architect
11 hours ago
We are seeking a highly skilled Enterprise Data Strategist to develop and implement a comprehensive data strategy that aligns with our business objectives.
Key Responsibilities:
- Data Architecture (70%):
- Design scalable and secure enterprise data architecture, including data lakes, warehouses, and real-time streaming solutions.
- Develop, optimize, and maintain data pipelines for structured and unstructured data across multiple systems.
- Create conceptual, logical, and physical data models to ensure consistency, reuse, and governance.
- Optimize database performance and implement partitioning, indexing, and query tuning strategies.
- Deploy and manage data solutions using cloud-native tools.
- Implement data security frameworks, including encryption, access control, and GDPR compliance.
- Introduce metadata management, MDM, and data lineage tracking using industry-standard tools.
- Leadership & Strategic (30%):
- Serve as the data architecture authority, defining standards and best practices.
- Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation.
- Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
- Drive adoption of data governance and data quality frameworks across the organization.
- Provide technical leadership in solution design reviews and strategic planning sessions.
Key Skills & Competencies:
- Strong expertise in SQL, Python, or Scala for data processing and transformations.
- Proven experience with ETL/ELT frameworks and cloud data platforms.
- Knowledge of real-time data streaming, data modeling, and big data frameworks.
- Familiarity with DevOps for data and relevant certifications.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Engineering, or related field.
- 8+ years of experience in data engineering/architecture roles with at least 3+ years as an Enterprise Data Strategist.
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