Databricks Architect

Company : Bot Consulting

Job Type : Full Time

Jaipur, India

Number of Applicants

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000+

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Job Description - Databricks Architect

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

Bachelor’s 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
Infrastructure as Code (IaC) using Terraform, CloudFormation, or equivalent automation frameworks (Mandatory)
Experience working with cloud platforms such as AWS, Azure, or GCP
Strong knowledge of SQL and Python
Hands -on experience provisioning and managing cloud infrastructure through Infrastructure as Code (IaC) practices (Mandatory).
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

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
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.

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