Senior Data SME

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.