Data Engineer

Founded in 2003, Bramcolm, LLC has been at the forefront of IT solutions for two decades, consistently delivering cutting-edge services tailored to meet the evolving needs of businesses. Based in Indianapolis, IN, our boutique firm has built a reputation for excellence in the IT services and consulting industry.

At Bramcolm, we are committed to leveraging advanced technologies such as AI, machine learning, and cloud computing to deliver efficient, scalable, and user-friendly solutions. Our collaborative approach involves working closely with clients to understand their unique needs and tailor our services accordingly. We value creativity, agility, and excellence, fostering a culture that encourages continuous learning and growth.

Position Summary

The Bramcolm team is seeking a Senior Snowflake Engineer with deep expertise in Snowflake data architecture and a strong command of cloud technologies. You will design, develop, and maintain scalable data environments that serve as the foundation for our analytics and business intelligence solutions.

Given our support for a diverse range of clients, you will have the opportunity to engage in projects across different domains. This means the role may involve participation in entirely unrelated projects, requiring a high degree of flexibility and adaptability. You will need to quickly understand new data sources, business processes, and industry-specific requirements to deliver effective data solutions.

Key Responsibilities

Data Architecture & Engineering

• Architect, design, and optimize cloud-native data platforms , including data warehouses (e.g., Snowflake, Redshift, BigQuery) and lakehouse architectures (e.g., Databricks, Delta Lake) , supporting advanced data engineering and machine learning pipelines using Spark .
• Work with Airflow for orchestration of ETL workflows
• Establish robust data modeling practices and define metadata management and governance frameworks
• Develop and manage end-to-end data pipelinesensuring efficient ingestion, transformation, and delivery of large-scale datasets
• Implement data quality controls, validation checks, and alerting mechanisms to maintain accuracy and consistency

Technical Leadership

Required Qualifications

Preferred Qualifications

Location & Requirements

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