Cloud Data Architect
Cloud Data Architect
Posted 5 days ago
SENIORITY
Lead
About the role
- 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
- Hands-on solution development leveraging modern cloud data technologies, tools, languages, and platforms
- Define and establish data architecture principles, standards, guidelines, and patterns
- Balance service delivery with continuous process improvement and automation to architect reliable, and stable data platform capabilities
- Work with functional leads and business leaders to ensure a technical strategy is aligned with company and departmental vision
- Lead, manage and guide technical project teams
- Drive the adoption of a DevOps/SRE culture across teams
- Mentor other team members
- Support vendor management activities with key vendors such as cloud providers, and drive early adoption activities and vendor technology roadmap discussions
- 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
- Experience designing and building cloud-native data platforms (AWS preferred)
- Experience designing and building ETL and ELT data pipelines for batch and streaming data using cloud-native serverless technologies like AWS Glue and Lambda
- Advanced knowledge of SQL and data warehouse concepts
- Experience building solutions to measure data quality
- Experience with Snowflake or other cloud-native data warehouses
- Experience with cloud-native SQL and NoSQL DBaaS platforms like AWS RDS, MongoDB Atlas
- Experience building data ingestion pipelines using Python and PySparkExperience with streaming data platforms like Apache Kafka or AWS Kinesis, and event-driven architectures
- Solid understanding of DevOps and SRE and experience implementing CI/CD, test automation, infrastructure as code (Terraform), metrics, and monitoring
- Experience using DevOps platforms and tools (Azure DevOps, GitHub)
- Proficiency with both Linux and Windows
- Experience with containerized applications using Docker
- Experience with agile methodologies including Scrum and Kanban
- Experience leading teams of data engineers and software developers spanning multiple time zones
- Strong problem-solving and analytical skills
- Exceptional verbal and written communication
- Bachelor's degree in Computer Science, Engineering, MIS, or equivalent experience
- Experience building solutions with Docker and Kubernetes (EKS, AKS, GKE)
- Experience building ETL and ELT data pipelines using Informatica Cloud platform
- Experience with data quality and catalog tools (e.g. Informatica, Collibra).Knowledge of data governance practices, business, and technology issues related to management of enterprise information assets, and approaches related to data protection
- Familiarity and experience in data protection and information security in the cloud
- Familiarity with cloud-native technologies and platforms for artificial intelligence and machine learning (e.g. SageMaker)
- Or refer someone
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
