Senior Lead Data Engineer & Architect Azure Digital Data platform

Jobgether; Remote; USD 83,000 - 107,000; Full time

Job summary

A technology partner is looking for a Sr Lead Data Engineer/Architect to lead the migration and modernization of a data platform on Azure in Germany. In this hands-on role, you'll influence architectural decisions and collaborate with teams to implement scalable solutions. Candidates should have extensive experience with Azure Digital Data Platform, data migration from legacy systems, and strong data modeling skills. This role offers a fully remote work environment with competitive compensation and flexible arrangements.

Benefits

Fully remote, India-friendly work environment

Opportunity to work on transformative projects

Exposure to cutting-edge cloud technologies

Collaborative team environment

Flexible work arrangements

Qualifications

• Extensive experience with Azure Digital Data Platform, including Databricks and Azure Data Lake.
• Proven expertise in data migration projects from legacy systems.
• Strong background in data modeling and modern data architecture solutions.

Responsibilities

• Lead the migration of legacy data systems to a modern Azure‑based data platform.
• Architect and implement scalable data solutions using Databricks and Azure services.
• Collaborate with business teams to define and guide modernization strategies.

Skills

Azure Digital Data Platform

Databricks

Azure Data Lake

Azure Data Factory (ADF)

Data modeling

Cloud-native platforms

Data migration

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Lead Data Engineer / Architect (Azure Digital Data Platform) in Germany.

In this role, you will lead the design, migration, and modernization of a large-scale data platform on Azure. You will play a pivotal role in transforming legacy systems to modern cloud-based architectures, enabling scalable and efficient data operations. Working closely with business stakeholders and engineering teams, you will guide data modeling, architecture, and platform best practices. This hands‑on position involves both strategic planning and technical execution, including migration to Databricks, implementation of Azure Data Lake, and adoption of Unity Catalog. You will influence key decisions across the data landscape, ensuring reliability, governance, and optimal performance. Operating in a collaborative, remote‑first environment, you will shape the future of enterprise data systems while driving innovation and efficiency.

Accountabilities:

• Lead the migration of legacy data systems (e.g., Teradata) to a modern Azure‑based data platform, ensuring minimal disruption and maximum efficiency.
• Architect and implement scalable, reliable, and secure data solutions using Databricks, Azure Data Lake, ADF, and Unity Catalog.
• Drive functional and data modeling initiatives, aligning platform capabilities with business requirements and operational objectives.
• Collaborate with business teams to define best practices, guide modernization strategies, and ensure adherence to industry standards.
• Provide hands‑on leadership in data engineering tasks, including platform modernization, performance optimization, and governance.
• Mentor and support junior engineers to elevate technical capabilities across the data team.

Requirements:

• Extensive experience with Azure Digital Data Platform, including Databricks, Azure Data Lake, Azure Data Factory (ADF), and Unity Catalog.
• Proven expertise in data migration projects, especially moving from legacy systems like Teradata to cloud‑native platforms.
• Strong background in data modeling, functional modeling, and implementing modern data architecture solutions.
• Ability to engage with business stakeholders to translate requirements into technical solutions and guide adoption of best practices.
• Hands‑on, technically proficient, and capable of leading complex, large‑scale migration and modernization projects.
• Preferred experience in supply chain or distribution domain data solutions is a plus.

Benefits:

• Fully remote, India‑friendly work environment.
• Opportunity to work on a high‑impact, transformative data platform modernization project.
• Exposure to cutting‑edge cloud technologies and modern data engineering practices.
• Collaborative, mentorship‑driven team environment.
• Competitive compensation package aligned with experience and role responsibilities.
• Flexible work arrangements supporting work‑life balance.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1