Lead Data Architect

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Requirements:

• Experience designing and implementing solutions on Databricks, Snowflake, Spark or EMR platforms.
• Experience defining and implementing types of data architecture and technology stacks.
• Exposure to designing application system architecture based on big data and AI technologies.
• Experience in building, maintaining and tuning data platforms and data warehouse design.
• Familiarity with common design patterns and foundational knowledge of distributed systems.
• Proficiency in open-source distributed computing/storage technologies like YARN, Spark, Kafka, etc.
• Understanding of data-driven techniques, advanced analytics, ML/AI and data mining applications.
• Exposure to developing real-time and low-latency data streaming solutions.
• Passionate about data infrastructure and operations, with expertise in cloud environments.

Responsibilities:

• Navigate, with support, a data project's architectural concerns, enabling delivery teams to deliver on accepted standards within time and budget.
• Provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics.
• Interact with client counterparts from the enterprise architecture group to deliver, share, align and sign-off on key architectural decisions.
• Communicate both high-level and low-level technical details of data architecture to engineers and business stakeholders.
• Lead, with support, the technical design of data governance, data security and data privacy to fulfill compliance requirements.
• Incorporate data quality frameworks and processes to meet requirements.
• Collaborate with sales and pre-sales to clarify requirements and design viable solutions.