Data Architect
2 days ago
**Data Architect -GCP**:
- You will partner closely with the clients to deliver state-of-the-art outcomes by engineering solutions.
- You will continue to expand your expertise in Data Science, Big Data, Analytics and Visualization tools/techniques daily to enable incremental innovation in on-going projects
- At all times, you will clearly articulate and communicate with a diverse set of internal and external customers with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures
- You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement
**To succeed, you should have technical experience and expertise in**:
- 12 years of experience in solution architecture, data architecture design, recommendations and implementation best practices and continuous optimization
- Experience in Solution Architect design with experience in Google Cloud.
- Minimum of 4 year of experience with major GCP data platform components (BigQuery, BigTable, DataFlow, DataProc, DataLab, DataStudio, DataPrep, Pub/Sub, TensorFlow, Machine Learning, APIs like Vision)
- Minimum of 4 year of development, and implementation of enterprise-level data solutions utilizing Spark, Scala and Python (scikit-learn, scipy, pandas, numpy, etc)
- Data lake and warehousing on cloud
- Good understanding of Big data technologies, Cloud concepts, BI landscape, Analytics and ML space
- Experience in working as consultant to formulate solution to business problem
- Ability to work in ambiguous situations with unstructured problems and anticipate potential issues/risks
- Experience in handling complex information and presenting it in compelling narratives through business presentations for various audiences
- Experience working on large scale analytics projects that includes familiarity with architecting big data environments, leveraging appropriate visualization tools and rigorous hypothesis testing using various statistical analysis techniques. Experience with following technologies: Analytics, Data and Functional understanding:
- Able to work with multi stakeholders and get their suggestions. Filter and make relevant changes to solution
- Professional agility and strategic thinking
- Ability to recommend best-in-class tools, technologies and processes to ensure high quality solutions
- Experience in developing comprehensive RFP responses in partnership with Pre-Sales and/or Marketing functions
- Strong analytical and problem-solving skills
- Excellent oral and written communication skills
- Able to work in teams and collaborate with others to clarify requirements
- Understanding of Agile and other development processes and methodologies.
- Professional agility and strategic thinking
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