Lead Data Engineer, Azure

3Pillar Global

Lead Data Engineer at 3Pillar collaborating on data platforms and analytics projects for enterprise AI transformation across diverse industries.

Posted 6/26/2026full-timeRemote • 🇬🇹 GuatemalaSeniorWebsite

Tech Stack

Tools & technologies

AzureBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
Lead end-to-end analytics projects — from requirement gathering to deployment.
Mentor junior team members, perform code reviews, and ensure adherence to quality standards.**Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
Stay up to date with advancements in the analytics and cloud data ecosystem.
Drive innovation in reporting and analytics capabilities.**Recommend and implement new tools, frameworks, and practices to enhance the data platform.
Define best practices, coding standards, and governance for analytics projects.
Monitor data systems performance and implement optimization strategies.
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI (embeddings, vector stores, and feature stores) and integrating GenAI into analytics and data products.
Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
Define governance and quality standards for data consumed by LLMs and agents.

Requirements

What you’ll need

Demonstrated expertise with a minimum of 7 - 10 years of relevant experience in data engineering and business intelligence domain.
Strong primary expertise in the **Azure Data Stack, specifically Azure SQL, Microsoft Fabric**, and Power BI (semantic layer design, robust dashboard development), with a minimum of two years of hands-on experience in these specific tools.
Advanced SQL skills and a solid understanding of modern data architecture, including **Data Lakehouse** concepts, medallion architecture, star/snowflake schemas, and dimensional modeling.
**Proficiency in Python** for data engineering, ETL/ELT workflows, and automation tasks.
Experience designing and maintaining enterprise-grade **data pipelines** — specifically in Azure environments.
Proven track record of **leading analytics projects** and delivering scalable data solutions.
Ability to function as a **player-coach** — leading while also contributing hands-on.
Solid understanding of **data governance, security** (especially around PII and multi-tenant architectures), and **performance optimization** practices.
Strong communication skills and ability to translate complex technical concepts for business stakeholders.

Benefits

Comp & perks

Medical Insurance benefits as per company policy.
Life Insurance as per company policy
15 days of paid vacation, sick leave and paid holidays as per local law
Paternity and maternity leave as per as per local law
Marriage, bereavement and graduation leaves as per company policy
Sick leave and paid holidays as per local law
Christmas and Middle year bonuses as per local law
Monthly productivity bonus as per local law
Discounts in local shops
Direct deposit of payroll.
Paid professional certifications

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Hard Skills & Tools

Azure SQLMicrosoft FabricPower BISQLPythonETLELTdata pipelinesdata modelingdata architecture

Soft Skills

communicationmentoringleadershipcollaborationproblem-solvinginnovationquality controlproject managementadaptabilitycoaching