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Evolv Consulting

, , Colombia / Global

Senior Data Engineer

Job Description

The Senior Data Engineer designs and leads enterprise-scale data pipelines, warehouses, and multi-cloud data platforms that support trusted analytics and AI-driven decision-making. This role sets technical direction, establishes engineering standards, and mentors teams while ensuring data quality, security, governance, scalability, and performance.

Responsibilities

Architect and optimize end-to-end ETL/ELT pipelines and reusable data integration frameworks

Define enterprise data modeling standards across star, snowflake, and data vault architectures

Lead deployment and performance optimization of data solutions across AWS, Azure, and GCP

Establish data quality, governance, monitoring, security, and compliance frameworks

Drive automation, process improvements, and engineering best practices across teams

Deliver trusted, documented, and accessible data for analytics, reporting, and data science

Lead technical decisions, solution design, delivery planning, and execution across multiple workstreams

Mentor junior and mid-level engineers and guide cross-functional teams

Required Experience & Skills

8-12 years for Senior building enterprise-scale data platforms

Proven experience designing end-to-end data architectures and leading cross-functional teams

Advanced SQL, enterprise data modeling, and performance optimization

Strong Python for reusable pipeline frameworks and automation

Deep expertise in ETL/ELT architecture and orchestration , including Airflow and dbt

Strong hands-on experience with Snowflake and multi-cloud architectures

Experience with Terraform, infrastructure as code, CI/CD, and automated deployments

Expertise in data quality frameworks, SLAs, observability, metadata, lineage, access controls, and compliance

Strong technical leadership, mentoring, stakeholder communication, and AI fluency

Preferred Experience (Nice to have)

Experience leading enterprise-scale, multi-cloud data programs

Exposure to analytics, BI, and AI/ML data platform use cases

Hands-on experience with BigQuery, Tableau, or Power BI

Relevant certifications in Snowflake, AWS, Azure, or GCP

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