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For Companies At a Glance
- Tasks: Lead data solutions and integration pipelines while collaborating with cross-functional teams.
- Company: Join HCLTech, a global tech leader with over 220,000 employees across 60 countries.
- Benefits: Enjoy competitive pay, remote work options, and access to cutting-edge technology.
- Why this job: Be part of innovative projects that shape the future of data management and AI.
- Qualifications: Experience in data architecture, cloud technologies, and strong SQL skills required.
- Other info: Opportunity to publish white papers and contribute to industry-leading discussions.
The predicted salary is between 48000 - 84000 £ per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion.
Business Perspective
Experience as Principal Arch in leading organizations handling customers effectively.
Advanced understanding of Enterprise Architecture principles. Well-versed with the end to end data management philosophies and governance processes fit to business.
Deliver data solutions and integration pipelines in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proof
Collaborate with cross-functional teams to define and implement cloud strategies that align with business goals
Participating in architectural discussions and decision-making processes to ensure alignment with business goals and best practices
Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization
Technology Perspective
Worked in multiple large distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream.
In-depth understanding of data structure principles and data platforms
Used Architecture tools for modelling. Working experience on Modern data platforms which involves Cloud & related technologies
Keeps track of industry trends and incorporates new concepts
Advanced understanding of AI concepts , LLMS, RAG, Agentic apps
Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines.
Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries
Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies
Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka.
Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
Data visualization – Tools like Tableau
Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
Data processing frameworks – Spark & Spark streaming
Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
Experience in cloud data eco-system – AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory
Contributing to developing and maintaining cloud governance frameworks, policies, and procedures
Proficient in integrating cloud services with existing on-premises systems and applications, understanding various integration techniques
Enablement & Foundation Perspective
Published white papers in recognized forums
Knowledgeable in ROI and benefits analysis
Very good presentation/Articulation skills
Awareness of Security concerns while designing enterprise applications
Creative problem-solver with strong communication skills
Show an awareness of opportunities for innovation with new tools and uses of data
Should also demonstrate strong decision-making abilities, prioritize tasks, and manage resources effectively to ensure successful project outcomes.
Senior Data SME employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data SME
✨Tip Number 1
Network with professionals in the data engineering and architecture fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and technologies that are relevant to the Senior Data SME role.
✨Tip Number 2
Showcase your expertise by contributing to online forums or writing articles on platforms like LinkedIn. Discuss topics related to data management, cloud strategies, and AI concepts to establish yourself as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by familiarising yourself with HCLTech's projects and clients. Understanding their business model and how they leverage data solutions will help you align your experience with their needs during discussions.
✨Tip Number 4
Demonstrate your problem-solving skills by preparing case studies or examples from your past work where you successfully implemented data solutions or cloud strategies. This will help you stand out as a candidate who can deliver results.
We think you need these skills to ace Senior Data SME
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, cloud technologies, and architecture principles. Use keywords from the job description to demonstrate your fit for the Senior Data SME role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of HCLTech's business perspective and how your skills align with their needs. Mention specific projects or experiences that relate to the responsibilities outlined in the job description.
Showcase Technical Expertise: In your application, emphasise your hands-on experience with data integration tools, cloud platforms, and data visualisation technologies. Provide examples of complex projects you've worked on that demonstrate your technical capabilities.
Highlight Soft Skills: Don't forget to mention your communication skills, problem-solving abilities, and experience in collaborating with cross-functional teams. These are crucial for the role and will set you apart from other candidates.
How to prepare for a job interview at HCLTech
✨Showcase Your Technical Expertise
As a Senior Data SME, it's crucial to demonstrate your in-depth knowledge of data management philosophies and governance processes. Be prepared to discuss specific technologies you've worked with, such as ETL tools, cloud platforms, and data visualization tools, and how you've applied them in real-world scenarios.
✨Prepare for Architectural Discussions
Since the role involves participating in architectural discussions, brush up on your understanding of Enterprise Architecture principles. Be ready to articulate how you would align data solutions with business goals and best practices, showcasing your ability to think strategically.
✨Highlight Collaboration Skills
Collaboration with cross-functional teams is key in this role. Share examples of how you've successfully worked with different departments to implement cloud strategies or deliver data solutions. This will show your ability to communicate effectively and work towards common objectives.
✨Demonstrate Problem-Solving Abilities
Creative problem-solving is essential for a Senior Data SME. Prepare to discuss challenges you've faced in previous projects and how you overcame them. Highlight your decision-making process and how you prioritised tasks to ensure successful project outcomes.
