Senior Consultant - Data Platforms & Architecture

Skill: Senior Consultant - Data Platforms & Architecture
Exp: 6 to 9 years
Location: Hyderabad
Shift: Night Shift
Responsibilities
Support solution architecture across modernization projects, ensuring alignment with technical standards and business goals.
Translate high‑level architecture guidance into actionable delivery tasks and implementation plans.
Work across App Innovation, Cloud Platform, and Data & AI teams to integrate components into cohesive solutions.
Execute delivery frameworks, code standards, and reusable patterns that strengthen project consistency.
Conduct design reviews, technical validation, and quality checks within delivery teams.
Design and implement complex data pipelines and transformations.
Optimize Spark jobs for performance and cost efficiency.
Apply lakehouse best practices (medallion patterns, Delta Lake optimization).
Contribute to logical data models and integration design.
Troubleshoot production issues and lead root-cause analysis.
Mentor Consultants and review code for quality and standards adherence.
Communicate technical progress and risks to project leadership.
Collaborate with architects, project managers, and client stakeholders to drive successful outcomes.
Mentor junior consultants and engineers, promoting technical development and delivery best practices.
Troubleshoot and resolve delivery challenges, including integration, performance, and scalability issues.
Apply current Azure technologies and Microsoft frameworks to optimize solutions for maintainability, performance, and cost efficiency.
Participate in presales activities by contributing technical estimates, delivery plans, and solution insights.
Manage workload and commitments to meet utilization goals while maintaining architectural quality across engagements.
Invests in internal thought leadership, culture of feedback, knowledge-sharing, and/or Intellectual Property development opportunities, including communities of practice and internal initiatives.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or related field preferred (or equivalent experience).
4–7 years of experience in data engineering or analytics platforms.
Strong experience with Databricks, Spark, and Delta Lake.
Solid understanding of Azure-native data services.
Experience working in Agile delivery teams.
2-5 years of relevant consulting or engineering experience with Azure delivery.

Work arrangement
Hybrid