TS
Senior Data Engineer – Snowflake, ETL & AI
Tellus Solutions
🌏 Worldwide
Remote
Senior
2 months ago
- Snowflake
- ETL
- ELT
- AI
- Machine Learning
- ERP
- CRM
- CI/CD
- dbt
- Azure Data Factory
- Informatica
- Talend
- SQL
- Python
- AWS
- Azure
- GCP
- REST API
- Git
- Devops
- Agile
- Scrum
- Databricks
- Microsoft Fabric
- Collibra
- Alation
- Microsoft Purview
2 months ago
- We are seeking a highly skilled Senior Data Engineer with deep expertise in Snowflake, modern ETL/ELT architectures, cloud data platforms, and AI-enabled data solutions. This individual will play a key role in designing and delivering enterprise data solutions that support digital transformation, advanced analytics, automation, and AI initiatives.
- The ideal candidate combines strong technical expertise with excellent communication and consulting skills, working closely with business stakeholders, solution architects, architects, data scientists, and cross-functional teams to deliver scalable, secure, and high-performing data platforms.
- Design, develop, and optimize enterprise data platforms using Snowflake and cloud-native technologies.
- Build scalable ETL/ELT pipelines using modern data integration tools and frameworks.
- Design data warehouses, data lakes, and dimensional data models that support enterprise reporting, analytics, AI, and Generative AI initiatives.
- Develop high-quality, reusable, and maintainable data engineering solutions following industry best practices.
- Integrate data from ERP, CRM, HCM, finance, operational, and third-party enterprise systems.
- Partner with AI and Data Science teams to prepare, engineer, and optimize datasets for machine learning and Generative AI use cases.
- Design and implement data governance, metadata management, master data management (MDM), data lineage, and data quality frameworks.
- Optimize Snowflake performance through warehouse sizing, clustering, workload management, query optimization, and cost management.
- Build secure and scalable data architectures while ensuring compliance with enterprise security, privacy, and regulatory standards.
- Collaborate with business stakeholders to translate business requirements into scalable technical solutions.
- Participate in solution architecture reviews, technical design sessions, client workshops, and implementation planning.
- Support enterprise cloud migration and data modernization initiatives.
- Develop CI/CD pipelines and automate deployment processes for data engineering solutions.
- Monitor production environments, troubleshoot issues, and continuously improve reliability, scalability, and operational efficiency.
- Produce technical documentation, architecture diagrams, data flow documentation, and operational runbooks.
- Mentor junior engineers and promote engineering standards, reusable frameworks, and best practices.
- Stay current with emerging technologies in AI, cloud computing, modern data platforms, and data engineering.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 7+ years of experience in Data Engineering or Data Platform development.
- Expert-level hands-on experience with Snowflake, including architecture, administration, security, performance tuning, and optimization.
- Extensive experience designing and developing ETL/ELT pipelines using tools such as dbt, Matillion, Azure Data Factory, Informatica, Talend, or similar technologies.
- Advanced SQL programming and query optimization expertise.
- Strong Python programming experience for data engineering and automation.
- Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.
- Strong understanding of data warehousing, dimensional modeling, lakehouse architecture, and enterprise data architecture.
- Experience integrating enterprise applications, including ERP, HCM, CRM, and financial systems.
- Knowledge of REST APIs, event-driven architectures, streaming technologies, and modern integration patterns.
- Experience with Git, DevOps, CI/CD, Agile, and Scrum methodologies.
- Excellent analytical, troubleshooting, and problem-solving skills.
- Exceptional verbal and written communication skills with the ability to communicate effectively with technical teams, business leaders, and executive stakeholders.
- Strong consulting, stakeholder management, and presentation skills.
Preferred Qualifications:
- SnowPro Certification.
- Experience with Snowpark, Databricks, Microsoft Fabric, or other modern cloud data platforms.
- Experience supporting AI, Machine Learning, and Generative AI implementations.
- Experience with data governance platforms such as Collibra, Alation, or Microsoft Purview.
- Experience implementing enterprise-scale analytics, business intelligence, and reporting solutions.
- Prior consulting experience delivering technology transformation and cloud modernization initiatives.
- Experience working with Fortune 500 organizations across Finance, Healthcare, Media, Retail, or Technology industries.
Core Competencies:
- Enterprise Data Architecture
- Snowflake Platform Expertise
- ETL/ELT Development
- Cloud Data Engineering
- AI & Generative AI Enablement
- Data Governance & Master Data Management
- Data Warehousing & Dimensional Modeling
- Performance Optimization
- Solution Architecture
- Cloud Migration & Modernization
- Stakeholder & Client Management
- Executive Communication
- Agile Delivery
- Technical Leadership & Mentoring
- Innovation & Continuous Improvement
Senior Data Engineer – Snowflake, ETL & AI · Tellus Solutions