Location: Sri Lanka (Fully Remote — Working Australian Timezone)

Job Type: Full-Time | Consultancy Contract | Paid in AUD

Category: Solution Architecture / Data Engineering / AI Consulting

About the Role

We are seeking an experienced, high-impact Senior Databricks Consulting Engineer based in Sri Lanka to join an Australian-based global Data & AI consultancy. This is a fully remote position operating aligned with Australian business hours (AEST/AEDT) and supporting enterprise clients across APJ and global markets.

In this customer-facing advisory and technical leadership role, you will serve as a trusted technical advisor to enterprise leadership. You will guide organizations through their data and AI transformation journeys by designing, implementing, and optimizing modern data platforms built on the Databricks Lakehouse Platform.

Key Responsibilities

• Customer Advisory & Architecture:

  • Act as the primary technical advisor for strategic enterprise accounts.

  • Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.

  • Lead architecture workshops, solution design sessions, and technical roadmap discussions with C-level stakeholders.

  • Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.

• Solution Delivery & Optimization:

  • Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization.

  • Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations.

  • Identify and resolve technical blockers during high-scale customer engagements.

• Technical Leadership & Mentorship:

  • Serve as an internal and external subject matter expert on Databricks capabilities and emerging Data & AI technologies.

  • Mentor client engineering teams and internal consultants on modern architecture patterns.

  • Deliver executive presentations, technical workshops, and enablement sessions.

• Business Development & Presales Support:

  • Partner with sales and account teams during strategic enterprise engagements.

  • Support technical discovery, solution positioning, proposal development, and Proof of Concept (PoC) activities.

Requirements & Qualifications

• Location & Work Setup: Must be based in Sri Lanka and available to work aligned with Australian Timezone hours (AEST/AEDT).

• Industry Experience: Minimum 7+ years of experience in data engineering, cloud architecture, or analytics, including at least 3+ years explicitly working with Databricks in enterprise environments.

• Core Technical Expertise:

  • Hands-on mastery of the Databricks Data Intelligence Platform, Apache Spark, Delta Lake, Unity Catalog, and Lakehouse design patterns.

  • Deep knowledge of Data Governance, Security, Data Warehousing, ETL/ELT Architectures, and Data Modeling.

  • Advanced proficiency in Python, SQL, and Spark.

• Cloud Platforms: Hands-on experience with at least one major cloud provider: Microsoft Azure (preferred), AWS, or GCP.

• Consulting & Stakeholder Skills: Proven experience engaging with executive leadership, conducting architecture reviews, and delivering technical workshops in fluent English.

Preferred Qualifications

• Databricks Certifications: Databricks Certified Data Engineer Professional, Solutions Architect, or Machine Learning Professional.

• Advanced AI & MLOps: Experience with Generative AI, LLM architectures, MLflow, MLOps, Data Mesh, and real-time streaming data platforms.

• Consulting Experience: Prior experience in professional services, management consultancy, or systems integration environments.

What We Offer

• Competitive Consultancy Compensation: Attractive USD or USD-pegged remote consultancy rates.

• Global Enterprise Exposure: Work directly with leading enterprise customers across APJ and global markets.

• 100% Remote Flexibility: Work comfortably from anywhere in Sri Lanka.

• Cutting-Edge Stack: Access to state-of-the-art tools across Data Engineering, Analytics, AI, and GenAI platforms.