Senior Data Engineer

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources.

• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake.

• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness.

• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals.

• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring.

• Own and operate production data workflows, resolving incidents and ensuring reliability.

• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.

• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL

• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena

• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt

• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform

• Streaming: Kafka, Kinesis

• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field

• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing

• Deep proficiency in Snowflake or AWS Redshift

• Strong programming skills in Python and SQL

• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ask your data interfaces

• Experience with pipeline orchestration tools (Airflow, Glue, dbt)

• Solid understanding of data modeling, schema design, and ETL/ELT processes

• Strong analytical, problem-solving, and communication skills

• Ability to work cross-functionally and mentor others

• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices

• Knowledge of data privacy and security standards (GDPR, SOC2)

• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation