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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 a vibrant corporate culture.
- Why this job: Be part of innovative projects that shape the future of technology and data management.
- Qualifications: Experience in data architecture, cloud technologies, and strong SQL skills are essential.
- 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
Familiarise yourself with the latest trends in data architecture and cloud technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the data engineering and architecture fields. Attend industry events or webinars where you can meet people from HCLTech or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that align with the job requirements. Highlight your experience with data integration tools, cloud platforms, and any innovative solutions you've implemented, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of challenges you've faced in previous roles and how you overcame them. This will illustrate your ability to think critically and adapt, which is crucial for a Senior Data SME position.
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 and skills that align with the Senior Data SME role at HCLTech. Focus on your expertise in data management, cloud technologies, and architecture principles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data solutions and your understanding of HCLTech's business goals. Mention specific projects or experiences that demonstrate your ability to deliver scalable data pipelines and collaborate with cross-functional teams.
Highlight Technical Skills: In your application, emphasise your proficiency in ETL tools, data modelling, and cloud platforms like AWS, Azure, or GCP. Be specific about your hands-on experience with databases and data processing frameworks.
Showcase Thought Leadership: If you have published white papers or contributed to industry discussions, mention these in your application. This demonstrates your commitment to staying updated with industry trends and your ability to innovate within the data space.
How to prepare for a job interview at HCLTech
✨Showcase Your Architectural Experience
Make sure to highlight your experience as a Principal Architect, especially in leading organisations and handling customer relationships. Be prepared to discuss specific projects where you delivered data solutions and integration pipelines, demonstrating your understanding of Enterprise Architecture principles.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technologies mentioned in the job description, such as ETL tools, cloud platforms, and data visualisation tools. Be ready to discuss your hands-on experience with databases and data processing frameworks, and consider preparing examples of complex SQL queries you've written.
✨Engage in Architectural Discussions
Prepare to engage in discussions about architectural decisions and how they align with business goals. Show your ability to collaborate with cross-functional teams and articulate your thoughts on cloud strategies and governance frameworks.
✨Communicate Your Problem-Solving Skills
Highlight your creative problem-solving abilities and strong communication skills during the interview. Be ready to provide examples of how you've tackled challenges in previous roles, particularly in relation to data management and integration.
