Senior Consultant
Il y a 4 jours
Elsene, Brussel-Hoofdstad, Belgique
Cognizant
Temps plein
28 000 € - 37 000 € Contrat
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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.