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.