We are seeking an experienced Databricks Practice Lead to drive the technical vision, growth, and delivery excellence of our Databricks practice.

This role combines deep hands‑on expertise in modern data engineering with leadership responsibilities, including defining technical standards, mentoring engineering teams, supporting business development, and delivering scalable cloud‑based data solutions for enterprise clients.

You will work closely with clients, engineering teams, solution architects, delivery leaders, and business stakeholders to design innovative data platforms, guide technical decision‑making, and expand the organization's Databricks capabilities.

The adecuado candidate is both a strong technical leader and a trusted advisor who can bridge business objectives with modern data engineering solutions.

Responsibilities

- Lead the technical direction and growth of the Databricks Practice, establishing standards, best practices, and reusable solution accelerators.
- Design and review enterprise‑scale data platform architectures using Databricks, Apache Spark, and Microsoft Azure.
- Provide technical leadership and architectural guidance across multiple client engagements.
- Partner with clients to understand business challenges and recommend scalable data and analytics solutions.




- Lead technical discovery sessions, solution workshops, architecture reviews, and design discussions with clients.
- Mentor and coach Data Engineers, Technical Leads, and Solution Architects, fostering technical excellence and career development.
- Define best practices for data engineering, software engineering, Dev

Ops, security, governance, and operational excellence.
- Establish standards for ETL/ELT development, data quality, monitoring, performance optimization, and production support.
- Drive adoption of modern data architectures, including Lakehouse, Delta Lake, and event‑driven data processing.
- Collaborate with Delivery Managers and Engineering Managers to support project planning, staffing, technical risk management, and solution quality.
- Support pre‑sales activities, including solution design, technical proposals, effort estimation, client presentations, and proof‑of‑concept initiatives.
- Stay current with Databricks platform capabilities and emerging technologies, identifying opportunities to improve services and expand practice offerings.
- Promote the adoption of AI‑assisted software development and engineering best practices across the practice.

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📌 Databricks Practice Lead (Guadalajara)
🏢 Doist
📍 Guadalajara