D-TechWorks - Senior Databricks & Data Platform Architect - Medallion Architecture

Description :

Job Description : Senior Databricks & Data Platform Architect

Location : Remote

About the Company :

We are building AI-powered digital twins for mining and industrial operations. Our platform integrates real-time operational data, advanced analytics, AI agents, and immersive 3D environments to help operators understand, optimize, and predict system performance. At the heart of this vision lies a modern, scalable data platformDatabricks is a core foundation.

The Role :

We are seeking a Senior Databricks & Data Platform Architect to design and build this foundation. This is a hands-on contract role with clear ownership and a strong path to becoming a long-term, full-time leader as the platform and company scale.

You will :

- Own Databricks architecture decisions.

- Build real pipelines, not just slides.

- Work directly with our CTO, CEO, and AI engineers.

- Help shape how enterprise mining clients trust and adopt our platform.

This role is ideal for professionals who thrive in early-stage platform work, technical ownership, and solving real operational data challenges.

Key Responsibilities :

- Design and implement a Databricks Lakehouse using Bronze, Silver, Gold medallion architecture.

- Build ingestion pipelines for :

a. Operational systems (fleet, dispatch, plant control, telemetry).

b. Enterprise systems (ERP, maintenance, planning, ESG).

- Synthetic and simulated data for digital twin scenarios.

- Support batch, streaming, and near-real-time data workloads.

- Establish best practices for data modeling, quality, performance, and cost control.

- Enable AI/ML teams with clean, explainable, production-ready datasets.

- Act as a technical authority in discussions with client engineering and data teams.

Qualifications :

Required :

- 7+ years in data engineering or data platform roles.

- 3+ years of hands-on Databricks experience in production.

- Strong expertise in Spark, Delta Lake, PySpark, and Spark SQL.

- Proven experience designing enterprise-grade data platforms.

- Ability to explain architecture to both engineers and executives.

Nice to Have :

- Experience in mining, industrial, energy, or manufacturing domains.

- Streaming and telemetry data expertise.

- AI/ML enablement on Databricks.

- Exposure to digital twins or simulation platforms.

- Cloud experience (Azure, AWS, GCP) with a cloud-agnostic mindset.