Data Architect

Key Skills

AWS, Azure, Data Analytics, Data Architecture, Data science techniques, Design, DevOps, Effective communication skills, ETL/ELT technologies, Google Cloud Platform (GCP), Machine learning techniques, Snowflake

Job Description

Duties:

• Design and implement a comprehensive data architecture strategy aligned with business objectives.
• Develop data models, database designs, and data integration solutions to support business intelligence and analytics initiatives.
• Create and maintain data standards, policies, and procedures to ensure data quality, consistency, and governance across the organization.
• Collaborate with cross-functional teams to understand data requirements and translate them into scalable architectural solutions.
• Lead the evaluation and selection of data management technologies and tools, with a focus on Azure and other cloud platforms (AWS, Google Cloud, Snowflake).
• Design and implement data security and privacy measures to ensure compliance with regulations and industry standards.
• Develop and maintain data flow diagrams, entity-relationship diagrams, and other architectural documentation.
• Optimize data architecture for performance, scalability, and cost-efficiency.
• Guide the implementation of data warehouses, data lakes, and other big data solutions.
• Mentor and provide technical leadership to data engineers and other team members.
• Stay current with emerging trends and technologies in data architecture and analytics.
• Collaborate with data science teams to ensure the architecture supports advanced analytics and machine learning initiatives.
• Develop strategies for data integration, including ETL/ELT processes and real-time data streaming.
• Implement metadata management and data lineage tracking systems.
• Lead data architecture reviews and assessments to identify areas for improvement.
• Participate in capacity planning and resource allocation for data infrastructure.
• Develop and maintain disaster recovery and business continuity plans for data systems.
• Collaborate with project managers to ensure data architecture aligns with project timelines and deliverables.
• Provide expertise in resolving complex data-related issues and challenges.
• Participate in and often lead architectural design reviews and technical steering committees.
• Contribute to the development of data governance frameworks and best practices.
• Utilize cloud-based tools and services, particularly within the Azure ecosystem, to implement and manage data solutions.
• Ensure compliance with data privacy regulations such as GDPR, CCPA, and industry-specific requirements.
• Participate in prescribed Agile ceremonies and support the implementation of DevOps practices for data solutions.
• Maintain professional development through relevant certifications (e.g., Azure Data Engineer, AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
• Responsible for timely and accurate time entry and project documentation.
• Lead the technical evaluation of data architecture components for RFP responses, ensuring proposed solutions meet client requirements and industry best practices.
• Collaborate with sales and pre-sales teams to develop comprehensive data architecture proposals for RFPs, including solution design, technology stack recommendations, and implementation strategies.
• Prepare detailed technical documentation and architectural diagrams to support RFP submissions, clearly articulating the proposed data solutions and their benefits.
• Conduct feasibility assessments and risk analyses for proposed data solutions in RFP contexts, considering factors such as scalability, integration complexity, and long-term maintainability.
• Participate in client meetings and presentations to explain proposed data architectures and address technical questions during the RFP process.
• Stay informed about competitors' data solution offerings to ensure our RFP responses are competitive and innovative.

Desired Skills & Experience

• 5+ years of experience in data architecture or related field
• Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer certification within 1 year
• Extensive experience in data modeling and database design
• Proficiency with Azure Cloud services
• Experience with ETL/ELT processes and data integration tools
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Proficiency in SQL and at least one programming language (e.g., Python, Java)
• Knowledge of data governance principles and practices
• Proficiency in other cloud data platforms (AWS or Google Cloud) preferred
• Multiple cloud platform certifications (Azure, AWS, Google Cloud) preferred
• Experience with modern data warehousing solutions (e.g., Snowflake, Redshift) preferred
• Understanding of machine learning concepts and their data requirements preferred
• Experience with data visualization tools (e.g., Power BI, Tableau) preferred
• Excellent verbal and written communication skills
• Excellent collaboration skills
• Strong analytical and problem-solving skills

Education

• Master's degree in Computer Science, Data Science, Information Systems, or related field; Bachelor's degree with equivalent experience