Senior Consultant - Data Platforms & Architecture

Cognizant; Hyderabad; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Cognizant Hyderabad seeks a Senior Consultant - Data Platforms & Architecture to lead data-driven modernization efforts. You will drive architecture, design data pipelines, and mentor teams across Azure-based projects, ensuring quality and scalable solutions.

You will collaborate with cross-functional teams to deliver cohesive data architectures, optimize Spark workloads, and participate in presales activities with strong delivery plans and insights.

Formación

• 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.

Responsabilidades

• Support solution architecture across modernization projects and align with standards.
• Translate architecture guidance into delivery tasks and plans.
• Collaborate with App Innovation, Cloud Platform, and Data & AI teams.
• Design and implement complex data pipelines and transformations.
• Mentor consultants and review code for quality and standards.

Conocimientos

Data engineering

Analytics platforms

Azure

Agile delivery

Educación

Bachelor's degree in CS/IT

Herramientas

Databricks

Spark

Delta Lake

Azure

Descripción del empleo

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.