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7369 Turing Jobs

Cloud Data Architect

7-10 years

Remote

1 vacancy

Cloud Data Architect

Turing

posted 6hr ago

Job Role Insights

Flexible timing

Job Description

  • Provide technical guidance architecture, and enforce technical standards
  • Provide assessments and prototyping of new concepts and technologies
  • Develop capabilities to be handed off to operational development teams
  • Provide analysis on complex problems as well as be an active member of enterprise technology design decisions
  • Accountable for modernization, migration/transformation to a cloud data platform
  • Design and build reliable, scalable data infrastructure with leading privacy and security techniques to safeguard data
  • Architect scalable, secure, low-latency, resilient, and cost-effective predictive and prescriptive analytics systems for the entire enterprise
  • Design/Architect frameworks to allow unsupervised continuous training models and operationalize ML models using serverless architecture
  • Take over and scale our data models (Tableau, DynamoDB, Kibana)
  • Communicate with both internal and external stakeholders on work progress
  • Create frameworks for real-time and batch data import pipelines, utilizing best practices in data modeling, ETL/ELT processes, and data engineer handoff.
  • Participate in technical decisions and work with skilled colleagues.
  • Review the code and implementations, as well as provide useful feedback to help others build better solutions
  • Boost the technology direction and make suggestions based on experience and research

Job Requirements:

  • Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
  • At least 7+ years of relevant experience as a software engineer
  • 7+ years of experience working directly with enterprise data solutions
  • Competency working in a public cloud environment and on-prem infrastructure
  • Expertise in Columnar Databases like Redshift Spectrum, Time Series data stores like Apache Pinot, and the AWS cloud infrastructure
  • Experience with in-memory, serverless, streaming technologies and orchestration tools like Spark, Kafka, Airflow, and Kubernetes
  • 7+ years of hands-on implementation experience in IT platforms is requires
  • Nice to have some knowledge of AWS Certified Big Data
  • Demonstrable ability working with AWS big data and analytics solutions in large digital and retail environments is desirable
  • Advanced knowledge and experience in online transactional (OLTP) processing and analytical processing (OLAP) databases, data lakes, and schemas
  • Sound knowledge of AWS Cloud Data Lake Technologies and operational expertise of Kinesis/Kafka, S3, Glue, and Athena
  • Familiarity with any of the message/file formats: Parquet, Avro, ORC
  • Prolific skills in working with streaming services like EMS, MQ, Java, XSD, File Adapter, and ESB based applications
  • Extensive experience in distributed architectures like Microservices, SOA, RESTful APIs, and data integration architectures
  • Experience with a wide variety of modern data processing technologies like Big Data Stack (Spark, spectrum, Flume, Kafka, Kinesis, etc.)
  • Prolific knowledge of Data streaming technologies like Kafka and SQS/SNS queuing
  • Knowledge of Columnar databases like Redshift, Snowflake, and Firebolt
  • Experience with commonly used AWS services like S3, Lambda, Redshift, Glue, and EC2
  • Core understanding of Python, pySpark, or similar programming languages
  • Knowledge of BI tools like Tableau, Domo, and MicroStrategy
  • Understanding of Continuous Integration / Continuous Delivery

Employment Type: Full Time, Permanent

Read full job description

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What people at Turing are saying

What Turing employees are saying about work life

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99%
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Flexible timing
Monday to Friday
No travel
Night Shift
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Turing Benefits

Work From Home
Team Outings
Soft Skill Training
Job Training
Education Assistance
International Relocation +6 more
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