Senior Technical Lead
India
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Job Description
Senior Technical Lead
| Noida, Uttar PradeshBangalore, Karnataka

Job Summary

The DataOps Architect is responsible for enterprise DataOps strategy, modern data platform architecture, AI-ready data ecosystems, governance, automation, observability, and platform transformation across cloud and hybrid environments. The role leads DataOps, and LLMOps adoption while enabling trusted, scalable, and secure data delivery for analytics, AI, and Generative AI workloads.

Key Responsibilities

Define enterprise DataOps and AI platform roadmap.
• Design CI/CD and automated deployment frameworks for data products.
• Architect cloud-native data platforms on AWS, Azure, GCP and hybrid environments.
• Establish data quality, lineage, metadata, catalog, observability and reliability standards.
• Lead data lake, data warehouse, lakehouse and streaming platform initiatives.
• Drive Infrastructure as Code and platform automation.
• Define governance, privacy, security and compliance controls.
• Enable scalable AI/ML and Generative AI workloads.
• Mentor architects, engineers and capability teams.
• Support solutioning, presales and enterprise transformation programs.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Information Systems or related field.
• 10+ years in Data Engineering, Data Architecture or Platform Engineering.
• 8+ years leading DataOps, DevOps, Platform Engineering initiatives.
• Strong expertise in SQL, Python, Spark and distributed data processing.
• Experience leading enterprise-scale cloud data transformations.

Skill Requirements

Cloud: AWS, Azure, GCP
Data Platforms: Databricks, Snowflake, Redshift, Synapse, BigQuery
Data Engineering: Spark, PySpark, SQL, Python
Orchestration: Airflow, Prefect, Control-M
CI/CD: Azure DevOps, Jenkins, GitHub Actions/GitLab
IaC: Terraform, CloudFormation
Streaming: Kafka, Kinesis, Event Hubs
Monitoring: Grafana, Prometheus, OpenTelemetry
Data Quality: Great Expectations, Soda, Deequ

AI / GenAI Skills

• Design AI-ready data architectures and feature engineering platforms.
• Azure OpenAI, Azure AI Services, AWS Bedrock, SageMaker, Vertex AI.
• RAG architectures, vector databases and embeddings.
• LangChain, LangGraph, Semantic Kernel, CrewAI and AI orchestration.
• Model governance, responsible AI and model observability.
• Experience with GPT, Llama, Claude, Gemini and enterprise foundation models.

Other Requirements

Leadership Competencies

Strategic thinking, stakeholder management, architecture governance, capability building, innovation leadership, resource planning, enterprise transformation leadership and executive communication.

Preferred Certifications

  • AWS Data Engineer
  • AWS Solutions Architect
  • Databricks Certified Professional
  • Azure Data Engineer Associate
  • Azure Solutions Architect Expert
  • Azure AI Engineer Associate
  • AWS Machine Learning Engineer
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 230,000 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 September 2026 totaled $14.8 billion.