Senior Data Architect

Responsibilities

Lead the design and implementation of robust, scalable, and secure data architectures. Develop and maintain enterprise-wide data models, ensuring alignment with business objectives. Define and enforce data architecture standards, best practices, and governance policies. Collaborate with stakeholders to understand data requirements and translate them into technical solutions. Oversee data integration efforts, including ETL / ELT processes, data pipelines, and data warehousing. Optimize data storage and retrieval methods for performance, scalability, and cost-effectiveness. Evaluate and select appropriate technologies and platforms to support current and future data needs. Conduct regular audits and reviews to ensure data integrity, security, and compliance. Mentor and guide junior team members in data architecture principles and methodologies. Stay updated on emerging data technologies and trends, driving innovation within the organization. Skills

Data Architecture and Modeling :

In-depth knowledge of data modeling (conceptual, logical, physical), and experience defining scalable and efficient architectures. Database Technologies :

Strong expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra). Big Data and Cloud Platforms :

Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing. ETL / ELT and Data Integration :

Proficiency in ETL / ELT tools and techniques for integrating, transforming, and migrating data across environments. Data Governance and Security :

Understanding of data governance frameworks, data quality principles, privacy regulations (GDPR, CCPA), and best practices for securing data. Performance Optimization :

Skills in tuning data systems, improving query performance, and designing data structures that scale. Enterprise Architecture Alignment :

Ability to align data architectures with broader enterprise architecture goals and business strategies. Analytical and Problem-Solving :

Strong analytical skills for diagnosing architectural issues, evaluating solutions, and implementing improvements. Communication and Collaboration :

Excellent communication abilities to work with cross-functional teams, gather requirements, and present complex architectures to stakeholders. Continuous Learning :

Commitment to staying updated with emerging data technologies, industry trends, and architectural best practices.

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