Senior Consultant – Data Platforms & Architecture

Job Description

Skill: Senior Consultant – Data Platforms & Architecture

Exp: 6 to 9 years

Location: Hyderabad

Shift: Flexible to work in Shifts

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.