Senior Data & Analytics Lead

Role Purpose

The Senior Data & Analytics Architect will play a pivotal role in designing and delivering enterprise-grade data solutions across global markets. This role requires in-depth technical expertise in cloud-native platforms—particularly Databricks—alongside a strategic consulting mindset. The lead will lead cross-functional teams, drive innovation, and ensure data platforms are scalable, secure, and aligned with business goals fro Global enterprises.

The person should be hands-on with the Databricks platform, Azure Data Factory, and with a good understanding of platform engineering and operations also.

Key Responsibilities

1. Architecture & Solution Design

• Lead the design and implementation of lakehouse architectures using Databricks, Delta Lake, and Spark
• Architect scalable data solutions across Azure, GCP, Snowflake, and AWS
• Integrate data platforms with BI tools, ML pipelines, and enterprise systems

2. Consulting & Client Engagement

• Deliver strategic data advisory services to clients across APAC, Europe, and North America
• Translate complex business requirements into technical solutions
• Present architecture roadmaps and governance frameworks to executive stakeholders

3. Platform Engineering & Operations

• Establish DataOps functions for cloud-based platforms
• Oversee CI/CD pipelines, DevOps automation, and MLOps enablement
• Ensure platform reliability, performance, and cost optimization

4. Governance & Quality Assurance

• Define and enforce data quality, lineage, and confidence frameworks
• Conduct governance reviews and lead compliance initiatives
• Develop monitoring dashboards using Power BI, Tableau, and Looker

5. Team Leadership & Delivery Management

• Manage multi-disciplinary teams across geographies
• Lead project planning, resource allocation, and delivery oversight
• Mentor junior architects and engineers

Required Skills & Experience

• 10+ years in data architecture, engineering, and consulting
• Proven experience in Big 4 or Tier 1 consulting firms
• International project delivery experience across Australia, India, and global client bases
• Deep expertise in Databricks, Spark, Delta Lake, MLflow
• Strong command of Python, PySpark, SQL, Shell scripting
• Hands-on experience with ETL tools (Informatica, Talend, IICS) and DevOps tools (Terraform, Airflow, Azure DevOps)
• Familiarity with agile methodologies and enterprise data governance

Certifications

• Databricks Certified Data Engineer
• Microsoft Azure Data Engineer
• Snowflake SnowPro Core Certification
• Certified Scrum Master (CSM)

Education

• Bachelor of Technology (B.Tech) in CSE

Preferred Attributes

• Global mindset with cultural fluency across diverse teams
• Executive presence and stakeholder engagement skills
• Strategic thinker with a practical, delivery-focused approach
• Ability to thrive in high-pressure, client-facing environments