Cloud Data Architect

Industry: Retail

Remote

Company size: 10K+

Full-time/Part-time

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Job description

A US-based company that offers customers the fastest, easiest way to find all kinds of musical gear they need in one place is looking for a Cloud Data Architect. The selected candidate will provide a strong leadership role in developing the enterprise data architecture of digital and retail businesses across the company. The company has more than 255 stores across the nation, and their team of experienced musicians will help customers to find the right piece of gear for their band, ensemble or music venue. The company has managed to raise more than $30mn in funding so far. This role requires some overlap with the PST time zone.

Job Responsibilities:

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

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Frequently Asked Questions

What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

How many rounds do I need to clear before selection?

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

How is Turing different from other remote based job providers?

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What kind of developers does Turing hire?

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

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Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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