Note: The job is a remote job and is open to candidates in USA. SoTalent is seeking a Data Platform Engineer to support modern cloud data platform operations and development. The role focuses on Snowflake development, Infrastructure-as-Code, CI/CD automation, data ingestion, security, reliability, performance optimization, and analytics enablement, with a growth path toward senior platform engineering.
Responsibilities
- Implement and maintain Snowflake objects, schemas, roles, and security policies using established engineering patterns
- Develop and deploy database changes through automated CI/CD pipelines
- Configure and manage platform components supporting enterprise data operations
- Ensure solutions are scalable, maintainable, and aligned with governance requirements
- Support continuous platform enhancement initiatives
- Manage and operate database deployment pipelines
- Implement database migrations through automated deployment processes
- Support continuous integration and continuous delivery for analytics and data engineering workflows
- Ensure reliable testing and deployment of database and transformation assets
- Improve release quality and deployment efficiency
- Support production deployment and operation of dbt models
- Collaborate with analytics engineering teams to ensure data is delivered in the structure required for reporting and analytics
- Build reliable, reusable, and scalable transformation workflows
- Improve data accessibility and quality for downstream consumers
- Configure, deploy, and maintain data ingestion pipelines
- Support ingestion from internal and external source systems
- Build and manage automated ingestion workflows
- Monitor and troubleshoot pipeline performance and reliability
- Ensure timely and accurate data availability
- Implement data access controls and security policies
- Apply masking, row-level access, and governance controls
- Support role-based access management initiatives
- Assist with ongoing security and compliance improvements
- Contribute to data protection best practices
- Monitor platform health and respond to alerts
- Investigate and resolve platform incidents
- Participate in on-call support rotations
- Support operational reliability and service availability
- Perform root-cause analysis following incidents
- Analyze and optimize query performance
- Improve efficiency of warehouse utilization and processing workloads
- Support platform cost optimization initiatives
- Apply established performance tuning techniques
- Contribute to platform scalability improvements
- Maintain technical documentation and operational runbooks
- Document platform configurations, procedures, and troubleshooting steps
- Support onboarding and knowledge-sharing initiatives
- Ensure operational processes are clearly documented and repeatable
- Collaborate with senior engineers to learn platform architecture and engineering best practices
- Expand expertise in:
- Contribute to architecture discussions and technical improvements over time
- Work toward advanced platform engineering responsibilities and certification goals
- Automate
- Script
- Data Processing
- Platform Operations
Skills
- 2-4 years of professional experience in:
- Data Engineering
- Platform Engineering
- Software Engineering
- Cloud Data Infrastructure
- Experience supporting production systems
- Experience deploying and maintaining data solutions
- Strong proficiency with:
- Complex Joins
- Window Functions
- CTEs
- Query Optimization
- Performance Analysis
- Python
- Experience with one or more:
- Amazon Redshift
- BigQuery
- Databricks SQL
- Git
- Branching Strategies
- Pull Requests
- Code Reviews
- CI/CD Pipelines
- Experience with one or more:
- Terraform
- AWS CloudFormation
- Pulumi
- Working knowledge of:
- Dbt
- Data Transformation
- Model Testing
- CI/CD for Analytics
- Experience with:
- AWS
- Azure
- IAM
- Cloud Storage
- Networking Concepts
- Security Fundamentals
- Snowflake
- SQL
- Python
- Terraform
- Dbt
- CI/CD
- Data Engineering
- Data Pipelines
- Snowpipe
- Data Integration
- Git
- AWS
- Azure
- Infrastructure as Code
- Analytics Engineering
- Data Platform Operations
- Monitoring & Alerting
- Performance Optimization
- Snowflake (Preferred)
- Hands-on production Snowflake experience
- Production dbt development experience
- Experience with:
- Database CI/CD Tools
- Schemachange
- Liquibase
- Snowpipe
- Kafka
- Fivetran
- Airbyte
- Experience with observability platforms:
- Datadog
- Grafana
- Monte Carlo
- Experience in regulated industries such as:
- Financial Services
- Insurance
- Automotive
- SnowPro Core Certification (or willingness to obtain)
- Problem Solving
- Analytical Thinking
- Attention to Detail
- Ownership
- Communication Skills
- Collaboration
- Continuous Learning
- Technical Curiosity
Benefits
- Remote work arrangement in the US
- Clear growth path toward becoming a senior platform engineer
- Professional development opportunities in Snowflake, Terraform, data platform architecture, DevOps practices, and cloud engineering
- Opportunity to contribute to architecture discussions and technical improvements
- Opportunity to work toward advanced platform engineering responsibilities and certification goals
- Willingness to obtain SnowPro Core Certification is supported
Company Overview