Lead Data Engineer (Azure)

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.

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.

Experience working with DBT 

Experience working with other BI Tools

Any experience of working with Gen AI tools or technologies

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

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. 

You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 

We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.

Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.

We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.