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🔥 Principal Data Architect

Posted 7 days ago

🧭 Regular

💸 180000.0 - 312000.0 USD per year

🔍 Software Development

🔧 Requirements

Experience designing and implementing solutions on the Databricks, Snowflake, Spark or EMR platforms.
Experience in defining and implementing different types of data architecture, analyzing trade-offs and can define technology stacks for different types of data architecture.
Experience in designing application system architecture based on big data, artificial intelligence and related technologies.
Rich experience in building, maintaining and tuning data platforms, as well extensive experience in data warehouse design, data modeling, data monitoring and operations.
Experience with common design patterns, application frameworks and foundational/theoretical knowledge (i.e.: distributed systems, data intensive applications, etc.).
Proficient in common open-source distributed computing/storage technologies, including but not limited to YARN, Impala, Spark, MapReduce, Kafka and Flink, with practical project architecture experience.
Good understanding of business and communication, collaboration skills, strong learning and summarizing abilities.
Experience in defining, developing and enabling data-driven techniques, advanced analytics, ML/AI and data mining applications in enterprise.
Experience in developing real-time and low-latency data streaming solutions and a differentiated view on the complexities and tradeoffs connected with them.
Experience in productionizing machine learning models and applying techniques, tools and processes.
Passionate about data infrastructure and operations, with expertise working in cloud environments.

💡 Responsibilities

Lead complex data programs, navigating architectural concerns and 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 to advise clients on bringing their data strategy to life.
Interact with client counterparts from the enterprise architecture group and lead the delivery, alignment and sign-off of key architectural decisions, trade-offs and ways of working.
Communicate both high- and low-level technical details of data architecture to engineers and business stakeholders.
Collaborate, influence and guide at the intersection of analytical and operational architecture.
Be responsible for the technical design of data governance, data security and data privacy to fulfill compliance requirements.
Seamlessly incorporate data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria.
Collaborate with sales and pre-sales to clarify requirements and design viable solutions.
Represent Thoughtworks in various online and offline forums, including events and conferences.

Posted 7 days ago

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🔥 Lead Data Architect

Posted about 2 months ago

📍 USA

🧭 Regular

🔍 Technology consultancy

🔧 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.

Cloud ComputingData MiningETLMachine LearningSnowflakeData engineeringSparkData modeling

Posted about 2 months ago

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