About The Job We are seeking an experienced Databricks Architect Practice Lead to lead enterprise Data & AI initiatives, define scalable modern data platform architectures, and drive practice growth across client engagements. This role requires a strategic technology leader with deep expertise in Databricks, cloud data ecosystems, and modern analytics architectures.

The ideal candidate will have strong consulting and stakeholder management skills, with the ability to guide clients, mentor engineering teams, and lead large-scale transformation programs. This individual will act as a key point of contact for technical direction, solution architecture, delivery governance, and practice leadership.

Experience : 8- 12 Years

Shift Timing : EMEA Shift

Key Responsibilities Architecture & Solution Design :

• Design, develop, and optimize scalable data lakehouse architectures using Databricks
• Define enterprise data architecture standards, frameworks, and best practices
• Architect and implement batch and real-time data pipelines for analytics, AI, and reporting workloads
• Drive modernization and migration strategies from legacy data platforms to Databricks
• Ensure data integrity, governance, security, scalability, and performance across the platform

Practice Leadership

• Lead and grow the Databricks practice by defining capabilities, accelerators, reusable frameworks, and delivery standards
• Mentor architects, engineers, and technical teams on Databricks and cloud-native best practices
• Support pre-sales activities including solutioning, estimations, proposals, client presentations, and architecture workshops
• Build strong relationships with stakeholders, leadership teams, and clients across engagements
• Act as the primary technical advisor and escalation point for Databricks-related initiatives

Data Engineering & Cloud Platforms

• Design and implement ETL/ELT frameworks and ingestion pipelines using Databricks, Spark, and cloud-native services
• Work extensively with Delta Lake, Unity Catalog, Databricks Workflows, and Lakehouse architecture
• Develop scalable solutions on cloud platforms such as AWS, Azure, or GCP
• Collaborate with DevOps and platform teams to establish CI/CD and automation practices
• Optimize data processing performance and cost efficiency across environments

Delivery & Collaboration

• Collaborate with business stakeholders to translate requirements into scalable technical solutions
• Lead architecture governance, technical reviews, and solution validation processes
• Drive Agile delivery methodologies and ensure alignment with business objectives
• Create metrics, dashboards, and actionable insights to support strategic decision-making
• Manage and support enterprise-scale technology transformation programs

Requirements Qualifications :

Preferred Skills

• Databricks certifications such as :
• Databricks Certified Data Engineer Professional
• Databricks Certified Solution Architect
• Experience with :
• Snowflake
• Kafka or streaming platforms
• Airflow or orchestration tools
• Power BI, Tableau, or modern BI tools
• ML/AI workloads on Databricks
• Unity Catalog and data governance frameworks

Signs You May Be a Great Fit

• Impact : Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.
• Culture : Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.
• Growth : Access professional development opportunities, and mentorship from experienced peers.
• Benefits : Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

(ref:hirist.tech)