Skill: Cloud Data Architect - Azure Databricks
Role: Solution Architect
Solutioning lead for NA Data Engineering - Azure and Databicks as primary stack
Roles and responsibilities:
1) Architecture and Solutioning on Azure, databricks data platforms , expertise on architecture patterns - data warehosue, lakehouse, data fabric and datamesh
2) Sizing ,Estimation and Implementation plan for solutioning
3) Solution Prototyping, Advisory and orchestrating in-person/remote workshops
4) Work with hyperscalers and platform vendors to understand and test platform roadmaps and develop joint solutions
5) Own end-to-end solutions working across various teams in Cognizant - Sales, Delivery and Global solutioning
6) Own key accounts as Architecture advisory and establish deep client relationships
7) Contribute to practice by developing reusable assets and solutions
Required Skills:
1. Excellent verbal and written communication skills with ability to present complex Cloud Data Architecture solutions concepts to technical and executive audience (leveraging PPTs, Demos and Whiteboard)
2. Deep expertise in designing Azure and Databricks
3. Strong expertise in handling large and complex RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment
4. Strong relationship building skills and ability to provide technical advisory and guidance
5. Minimum 15 years’ experience as Solution Architect designing and developing data architecture patterns
6. Minimum 5-year hands-on experience in building Databricks based solutions
7. Minimum 3 years’ experience as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
8. Bachelor’s or Master’s degree in computer science, engineering, information systems or a related field
1. Technology architecture & implementation experience with deep implementation experience with Data solutions
• 15~20 years of experience in Data Engineering and 5+ Years Data Engineering Experience on cloud data engineering
• Technology pre sales experience – Architecture, Effort sizing , Estimation and Solution defense
• Data architecture patterns– Data Warehouse , Data Lake , Data Mesh , Lake house , Data as a product
• Develop or Co-develop proofs of concept and prototypes with customer teams
• Excellent understanding of distributed computing fundamentals
2. Experience working with one or more major cloud vendors
• Deep expertise on End to End Pipeline ( or ETL) development following best practices and including orchestration, Optimization of Data pipelines
• Strong understanding of the full CI/CD lifecycle
• Large legacy migration ( Hadoop , Terdata like) experience to Cloud Data platforms
• Expert level proficiency in engineering & optimizing with various data engineering ingestion patterns - Batch, Micro Batch, Streaming and API
• Understand imperatives of change data capture with tools & best practices POV
• Architect and Solution Data Governance capability pillars supporting modern data eco system
• Data services and various consumption archetypes including semantic layers, BI tools and AI&ML
• Thought leadership designing self-service data engineering platforms & solutions
3. Core Platform – Databricks
• Ability to engage and offer differing points of view to customers architecture using Databricks platform
• Strong understanding of the Lake house Architecture
• Implementation expertise using Delta Lake
• Security design and implementation on Databricks
• Scala or pipelines development in multi-hop pipeline architecture
• Architecture and Implementation experience with Spark and Delta Lake performance tuning including topics such as cluster sizing
Gen-AI architecture patterns
Data Quality and Data Governance
Cloud Cost Monitoring and Optimization
La Comunidad Cognizant:
Somos un equipo que se aprecia y apoya mutuamente. Nuestros asociados trabajan en un entorno colaborativo e integrador en el que todos pueden prosperar.
- Cognizant es una comunidad global con más de 300.000+ asociados en todo el mundo.
- No solo soñamos con un mundo mejor, sino que trabajamos para hacerlo realidad.
- Cuidamos de nuestros asociados, clientes, socios, comunidades y entorno haciendo lo correcto.
- Fomentamos un entorno innovador en el que puedes desarrollar tu carrera profesional.
Acerca de nosotros
Cognizant es una de las principales empresas de servicios profesionales del mundo, transformando los modelos de negocio, operativos y tecnológicos de los clientes para la era digital. Nuestro enfoque consultivo único, basado en la industria, ayuda a los clientes a visualizar, construir y gestionar negocios más innovadores y eficientes. Con sede en los EE. UU., Cognizant (miembro del NASDAQ-100 y uno de los mejores empleadores del mundo según Forbes en 2024) está constantemente listado entre las empresas más admiradas del mundo. Descubra cómo Cognizant ayuda a los clientes a liderar con lo digital en www.cognizant.com.
Nuestro compromiso con la diversidad e inclusión:
Somos una empresa que ofrece igualdad de oportunidades, que adopta la diversidad, defiende la equidad y valora la inclusión. Apostamos por fomentar una comunidad en la que todos se sientan escuchados y aceptados. En tu solicitud y candidatura no se tendrán en cuenta cuestiones de raza, color, sexo, religión, credo, orientación sexual, identidad de género, nacionalidad, discapacidad u otra condición protegida por la legislación.
Si tienes alguna discapacidad que requiera ciertas adaptaciones para buscar un puesto de trabajo o presentar una solicitud, envía un correo electrónico a [email protected] con tu solicitud e información de contacto.
Advertencia:
La información sobre remuneración es exacta a la fecha de esta publicación. Cognizant se reserva el derecho a modificar esta información en cualquier momento, sujeto a la legislación aplicable.Es posible que los candidatos deban asistir a entrevistas en persona o por videoconferencia e, incluso, que tengan presentar su documento de identidad vigente, durante cada entrevista.