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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
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