At Cloudely, we work with a single mission: Transform the way clients experience Product & Implementation, Development, and Support.

Growth is a journey and never a destination. We are constantly thriving to grow in gaining the trust of clients globally in offering services across Salesforce, Oracle, Robotic Process Automation, DevOps, Web, and Mobile Programming to name a few. And we are just getting started!

We have fabulous opportunities for you to grow along with us! 

At Cloudely, you will get what you are looking for: the scope to learn, prove and grow. We are now actively seeking success-hungry candidates who want to grow in the domain of Architect.

Role: Cloud Data Architect

Experience: 10+ yrs

Responsibilities:

1. Lead architecture, design, and development of a next-generation data platform in the cloud that serves as the central repository for data across the organization
2. Hands on solution development leveraging modern cloud data technologies, tools, languages, and platforms
3. Define and establish data architecture principles, standards, guidelines and patterns
4. Balance service delivery with continuous process improvement and automation to architect reliable, and stable data platform capabilities
5. Work with functional leads and business leaders to ensure technical strategy is aligned with company and departmental vision
6. Lead, manage and guide technical project teams
7. Drive the adoption of a DevOps/SRE culture across teams
8. Mentor other team members
9. Support vendor management activities with key vendors such as cloud providers, and drive early adoption activities and vendor technology roadmap discussions

Required Experience:

1. 8+ years of experience in a hands-on software/data engineering role including data modeling, data integration, data ingestion, data transformation, data mining, and data warehousing
2. Experience designing and building cloud native data platforms (AWS preferred)
3. Experience designing and building ETL and ELT data pipelines for batch and streaming data using cloud native serverless technologies like AWS Glue and Lambda
4. Advanced knowledge of SQL and data warehouse concepts
5. Experience building solutions to measure data quality
6. Experience with Snowflake or other cloud native data warehouses
7. Experience with cloud native SQL and NoSQL DBaaS platforms like AWS RDS, MongoDB Atlas
8. Experience building data ingestion pipelines using Python and PySpark
9. Experience with streaming data platforms like Apache Kafka or AWS Kinesis, and event driven architectures
10. Solid understanding of DevOps and SRE and experience implementing CI/CD, test automation, infrastructure as code (Terraform), metrics and monitoring
11. Experience using DevOps platforms and tools (Azure DevOps, GitHub)
12. Proficiency with both Linux and Windows
13. Experience with containerized applications using Docker
14. Experience with agile methodologies including Scrum and Kanban
15. Experience leading teams of data engineers and software developers spanning multiple timezones
16. Strong problem-solving and analytical skills
17. Exceptional verbal and written communication
18. Bachelor's degree in Computer Science, Engineering, MIS, or equivalent experience

Desired Skills And Experience

1. Experience building solutions with Docker and Kubernetes (EKS, AKS, GKE)
2. Experience building ETL and ELT data pipelines using Informatica Cloud platform
3. Experience with data quality and catalog tools (e.g. Informatica, Collibra).
4. Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
5. Familiarity and experience in data protection and information security in the cloud
6. Familiarity with cloud native technologies and platforms for artificial intelligence and machine learning (e.g. SageMaker)
7. Knowledge of Oil and Gas Industry data

The way to your dream job and organization is just a click away. Share your resume at [email protected]. To know more about us, please visit www.cloudely.com.