Thinklens is a small, senior, India-based team delivering Data, BI, and IT work for clients across the globe. No layers, no ticket queues — you own the problem and talk to the people who have it.
We're deliberately small. That shapes everything about how the work feels day to day.
You're not handed a ticket and a deadline. You scope the problem with the client, decide the approach, and see it through to sign-off.
Remote-first since day one — not a policy bolted onto an office culture. Work from anywhere in India, with overlap hours that suit the account.
Different clients, industries, and data estates. You'll go deeper in your specialism and broader across the stack than a single-product role allows.
Every consultant here has shipped real work. You'll be reviewed by people who understand what you built and can make it better.
Build scalable data platforms and intelligent enterprise solutions on the Microsoft Azure Data Platform, with Python, PySpark, Databricks, and AI/GenAI.
Build and manage secure, enterprise-grade cloud infrastructure for AI-driven platforms across AWS, Kubernetes, and infrastructure security.
Build enterprise-grade dashboards and scalable reporting solutions with Power BI, Snowflake, and dbt. Property & Casualty (P&C) insurance domain experience is mandatory.
Build scalable data engineering and analytics solutions with Snowflake, dbt, Power BI, and modern cloud data platforms. Property & Casualty (P&C) insurance domain experience is mandatory.
Design and run quantitative and qualitative market research with advanced analytics, across healthcare and life sciences research methodologies.
Build scalable data pipelines and cloud-based analytics solutions using Databricks, PySpark, SQL, AWS, and Redshift.
Support enterprise analytics initiatives through digital analytics, tracking implementation, and web analytics with Adobe Analytics.
Develop interactive dashboards with Sigma Analytics and SQL, working directly with stakeholders to deliver data-driven reporting solutions.
Build robust automation frameworks and ensure cloud platform reliability across Azure, Python, API test automation, and infrastructure validation.
Join a large-scale legacy-to-Databricks migration programme, converting T-SQL and legacy ETL logic into scalable PySpark workflows.
Lead the migration of legacy SQL, ETL, and data warehouse workloads to Databricks — setting standards, mentoring engineers, and owning technical strategy.
Build enterprise monitoring dashboards, analytics solutions, and observability platforms with Apache Superset, Tableau, Kibana, and Elasticsearch.
Drive SAP data management, data migration, and S/4HANA implementation work across SAP SD and Project Systems.
Implement and optimize enterprise IT Operations Management with ServiceNow Discovery, Service Mapping, Event Management, AIOps, and CMDB.
Design and build enterprise AI solutions on AWS Bedrock — RAG pipelines, agentic workflows, and intelligent document processing at production scale.
Build enterprise automation frameworks and test LLM-based, agentic AI applications — including adversarial and prompt-injection testing.
Build evaluation frameworks for AI and LLM applications — trajectory-based evaluation, LLM-as-a-judge methodologies, and production drift monitoring.
Build enterprise-grade full-stack applications for AI platforms — React front ends, FastAPI services, and Kubernetes-deployed microservices.
Design and optimize SQL databases, stored procedures, and SSRS reports, and maintain C#/.NET application components for enterprise systems.
Don't see a role that fits? Apply for General / future openings — we keep good profiles on file and reach out when something matches.