Blend360

Marketing And Advertising

SeniorDataEngineer

$150000–220000k ~AI est. Bogotá, Bogota, Colombia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Data Engineer at Blend360. Skills: Snowflake, AWS, Data pipelines, Data governance. Lead design and implementation of data ingestion architectures. Own development of end-to-end ELT pipelines”

What You'll Achieve.

Ensure high-quality data pipelines; Ensure governed data pipelines; Ensure reliable data pipelines

Industry & Context.

Marketing And Advertising
Problems you'll solve

Identify risks; Identify bottlenecks; Identify data quality issues; Implement mitigation strategies

What They're Looking For.

Must Have

3+ years of experience in Data Engineering, hands-on experience with Snowflake, experience building ELT pipelines, Solid experience with SQL, understanding and hands-on experience with Medallion Architecture

Nice to Have

Experience building and maintaining data pipelines in AWS, Familiarity with Snowflake Cortex, Experience with CI/CD pipelines for data workflows, Experience with Iceberg tables, Experience with Snowflake data sharing, Experience with dbt, Experience with Glue, Experience with Athena, Experience with EMR, Experience with Lambda, Experience with Terraform, Experience with CloudFormation

What You'll Do.

Lead design and implementation of data ingestion architectures

Own development of end-to-end ELT pipelines

Integrate multiple data sources

Design and enforce data quality frameworks

Apply and drive Medallion Architecture best practices

Build and optimize data pipelines on AWS

Develop and enhance data validation frameworks

Develop and enhance ingestion frameworks

Develop UI components

Act as technical leader

Guide best practices in data engineering

Guide best practices in data governance

Guide best practices in pipeline reliability

Proactively identify risks

Proactively identify bottlenecks

Proactively identify data quality issues

Implement mitigation strategies

Contribute to data governance initiatives

Drive documentation of data platform processes

Drive continuous improvement of data platform processes

How You'll Work.

Team & Collaboration

Client-facing leadership role

Communication Scope

Client-facing

Full Job Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We’re looking for a Senior Data Engineer with strong expertise in Snowflake-based data platforms , modern data architectures, and AWS, to lead the design and implementation of scalable ingestion and validation solutions for a leading enterprise client. This is a client-facing leadership role , ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows. What will you be doing? * Lead the design and implementation of data ingestion architectures in Snowflake , ensuring scalability and reliability. * Own the development of end-to-end ELT pipelines integrating multiple data sources. * Design and enforce data quality frameworks , including validation rules, testing strategies, and monitoring. * Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines. * Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.). * Develop and enhance data validation and ingestion frameworks , including UI components (Streamlit-based) when needed. * Act as a technical leader , guiding best practices in data engineering, governance, and pipeline reliability

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