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 up-to-date 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.

Job Title : Databricks Architect Practice Lead

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 & 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 :
- Bachelors Degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
- 7+ years of experience in Data Engineering, Data Warehousing, BI, and Analytics
- 3+ years of experience in Data Architecture or Solution Architecture roles
- 3+ years of hands-on experience with Databricks and modern data platforms





Strong Expertise In

- Databricks Lakehouse Platform
- Apache Spark / PySpark
- Delta Lake
- Data Modeling and Data Architecture
- ETL/ELT Pipeline Development
- Data Governance and Security
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Strong knowledge of SQL and Python
- Experience with CI/CD, DevOps, and Infrastructure Automation practices
- Strong understanding of migration architectures and modern data platform modernization
- Excellent stakeholder management, communication, and leadership skills
- Experience managing enterprise-scale consulting or transformation programs
- Ability to work effectively with global teams during EMEA shift timings

Preferred Skills

- Databricks certifications such as :

i. Databricks Certified Data Engineer Professional

ii. Databricks Certified Solution Architect

- Experience with :

i. Snowflake

ii. Kafka or streaming platforms

iii. Airflow or orchestration tools

iv. Power BI, Tableau, or modern BI tools

v. ML/AI workloads on Databricks

vi. Unity Catalog and data governance frameworks

vii. Exposure to multi-cloud architecture and hybrid data platforms

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)

📌 Databricks Architect - Data Engineering (Jaipur)
🏢 Bot Consulting
📍 Jaipur