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Principal Data Architect
Posted 7 days agoViewed
💎 Seniority level: Principal
💸 Salary: 180000.0 - 312000.0 USD per year
🔍 Industry: Software Development
🏢 Company: Referrals Only
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.
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🏢 Company: Caylent👥 251-500💰 Private over 2 years agoIaaSDevOpsCloud ComputingCloud Infrastructure
- At least 4 years of experience in AWS data landscape.
- 10 years of experience in areas such as relational database design, data modeling, big data processing, machine learning, BI dashboards, and data governance.
- Experience with infrastructure as code tools, CI/CD pipelines, and Python for analytics.
- Strong drive towards standardizing and documenting approaches and solutions.
- Excellent written and verbal communication skills.
- Define strategic roadmaps and targeted outcomes for clients in a consultative capacity.
- Act as a data engineering SME to define upcoming engagements with pre-sales teams.
- Perform technical interviews for Architect and Engineer candidates and provide technical guidance.
- Oversee the development and implementation of data standards and operating procedures.
AWSPythonMachine LearningNumpyAmazon Web ServicesData engineeringNosqlPandasSparkCommunication SkillsCI/CDData modeling
Posted 4 months ago
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