Databricks Practice Lead: Scale Enterprise Data

Kms-Technology; Región Centro; Presencial; MXN 1.200.000 - 2.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

15 days PTO

Annual performance bonus

Major Medical Insurance

Annual salary adjustment

Paid Certifications / Courses

Employee Referral Bonus

Savings Fund

Grocery Vouchers

Descripción de la vacante

KMS Technology Mexico is seeking an experienced Databricks Practice Lead to drive technical vision, growth, and delivery excellence for our Databricks practice. You will lead architecture, collaborate with clients and delivery teams, and mentor engineers to deliver scalable cloud data solutions.

The ideal candidate combines deep data engineering expertise with strategic leadership, enabling advanced Lakehouse architectures and AI-assisted development across multiple client engagements.

Formación

• 8+ years in Data Engineering or related fields.
• 3+ years leading technical teams or data engineering practices.
• Strong expertise with Databricks and Azure services.

Responsabilidades

• 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, DevOps, 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.

Conocimientos

Databricks

Azure

Python

Leadership

Data Engineering

Herramientas

Delta Lake

Airflow

Kafka

Unity Catalog

Azure DevOps

Descripción del empleo

KMS Technology Mexico is seeking an experienced Databricks Practice Lead to drive technical vision, growth, and delivery excellence for our Databricks practice. You will lead architecture, collaborate with clients and delivery teams, and mentor engineers to deliver scalable cloud data solutions.

The ideal candidate combines deep data engineering expertise with strategic leadership, enabling advanced Lakehouse architectures and AI-assisted development across multiple client engagements.