Senior Data Engineer

Note

The job is a remote job and is open to candidates in USA. Tellus Solutions, Inc. is seeking a Senior Data Engineer to design and deliver enterprise data solutions supporting digital transformation, advanced analytics, automation, and AI initiatives. The role focuses on Snowflake-based data platforms, ETL/ELT pipelines, cloud data architecture, data governance, AI enablement, system integration, performance optimization, and technical leadership.

Responsibilities

• 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

Skills

• 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
• 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
• 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

Company Overview

• Founded in 2005, Tellus Solutions, a Minority-owned firm has been delivering AI, ML, IT solutions to medium and large partners. It was founded in 2005, and is headquartered in Santa Clara, California, USA, with a workforce of 51-200 employees. Its website is https://tellussol.com/contact-us.