Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and construct foundational data pipeline infrastructure for a decentralized Data Mesh approach.

• Assist in the transition from legacy on-premises systems to a contemporary Snowflake cloud data platform.

• Create, develop, and sustain scalable batch, real-time streaming, and event-driven pipelines.

• Take ownership of the core development of the Snowflake data platform, focusing on performance, modeling, and storage frameworks.

• Develop transformation pipelines and semantic layers that leverage Snowflake and dbt AI capabilities along with natural-language interfaces.

• Set up reference architectures, standard templates, and CI/CD practices for decentralized business teams.

• Directly oversee and provide mentorship to one data engineer.

• Guide domain data analysts in engineering methodologies.

• Promote the adoption of dbt and investigate integrations with AWS and Azure data tools.

• Work closely with clients, engineers, and AI experts to translate emerging technologies into quantifiable business results.

⛳️ Requirements

• 5–7 years of focused experience in data engineering.

• Demonstrated history of constructing production-grade data pipelines.

• Advanced, hands-on expertise in Snowflake architecture, performance optimization, and data sharing; a strict requirement.

• Proven experience in transferring data across hybrid environments from on-premises to cloud using batch, streaming, and event-driven methodologies.

• Background in building or maintaining semantic layers, such as dbt Semantic Layer or Snowflake Cortex/Semantic definitions.

• Experience in structuring data for downstream AI, LLM, or natural language search functionalities.

• Proficient Python skills, especially within cloud environments.

• Strong SQL proficiency.

• Exposure to dbt is highly preferred.

• Familiarity with Azure data tools, notably Azure Data Factory, is a significant advantage.

• Awareness of AWS data ecosystems is a nice-to-have.

• A collaborative, coaching mindset with a passion for teaching, governance, and elevating the technical standards for cross-functional teams.

• Must not require H1B visa sponsorship.

🏝️ Benefits

• Equal Opportunity Employer.

• Engage directly with clients, engineers, and AI specialists.

• Opportunity to assist leading financial institutions and other clients in adopting AI.

• Chance to teach, facilitate, influence, and guide individuals in embracing new working methodologies.