Apply📍 USA
🧭 Regular
🔍 Technology consultancy
🏢 Company: Referrals Only
- 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.
- 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.
Cloud ComputingData MiningETLMachine LearningSnowflakeData engineeringSparkData modeling
Posted about 2 months ago
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