Databrick Practice Lead

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 organizations Databricks capabilities. The ideal 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 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.

Qualifications :

• 8 years of professional experience in Data Engineering Data Platform Engineering or related disciplines.

• 3 years of experience leading technical teams architecture initiatives or data engineering practices.

• Deep expertise with Databricks including workspace administration notebooks jobs workflows Unity Catalog Delta Lake and Lakehouse architecture.

• Strong experience developing scalable data pipelines using Apache Spark (PySpark).

• Extensive experience with Microsoft Azure including services such as Azure Data Lake Storage (ADLS) Azure Data Factory Azure Event Hubs Azure Key Vault and Azure DevOps.

• Strong programming skills in Python including clean coding practices and object-oriented programming principles.

• Experience with orchestration tools such as Apache Airflow or Dagster.

• Experience working with streaming technologies such as Apache Kafka or Azure Event Hubs.

• Strong understanding of data architecture dimensional data modeling metadata management and enterprise data platform design.

• Experience implementing data governance data quality security and compliance practices.

• Experience building and optimizing enterprise ETL/ELT solutions.

• Strong knowledge of SQL and relational database concepts.

• Experience deploying cloud-native data solutions preferably on Microsoft Azure.

• Excellent consulting presentation and stakeholder management skills with experience interacting directly with enterprise clients.

• Experience leading architecture discussions technical governance and solution reviews.

• Ability to lead multiple initiatives simultaneously while providing technical direction across distributed teams.

• Experience working in Agile development environments.

Additional Information :

Perks you enjoy at KMS Mexico

• Mexican law benefits
• 15 days of PTO (in year zero from the first year onwards it is 3 days per year).
• 5 days leave for the death of immediate family members negotiable.
• Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children).
• Annual performance bonus (10% of annualized salary).
• Annual salary adjustment.
• Employee Referral Bonus.
• Paid Certifications / Courses
• Coursera License.
• 5% Savings Fund.
• 5% Grocery Vouchers.

Remote Work :

Yes

Employment Type :

Full-time