Cognida appoints Mohandeep Singh as Chief Business Officer
HR Today
Singh joined to lead sales, marketing and account growth and to develop partnerships for Cognida’s enterprise AI business.
Read articleAbout Cognida.ai
Our Purpose is to boost your competitive advantage using AI and Analytics.
We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.
We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.
We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.
We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.
A highcaliber Data & AI Engineer who can operate independently while seamlessly collaborating across global time zones.
Position Overview
We are seeking a dynamic, self-driven Data & AI Engineer with deep expertise in the Databricks ecosystem to design, build, and accelerate our next-generation data architecture.
In this role, you won't just write backend pipelines; you will be the bridge between complex data engineering and tangible business value.
A critical measure of success in this role is the ability to rapidly build and execute concrete, high-impact technical demonstrations that showcase the power of unified data and AI.
Because we operate globally, you must thrive in an autonomous, highly flexible environment, collaborating effectively across diverse time zones.
Education : Bachelor's degree , BE/B. Tech in CS or equivalent
Experience : 10+ years
Location : Hyderabad,India
Position : Senior Data & AI Engineer (Databricks Specialist)
Key Responsibilities
Databricks Architecture & Governance
Design and implement robust data pipelines utilizing the Databricks Lakehouse platform. Take ownership of data governance, security, and fine-grained lineage using Unity Catalog.
Rapid Prototyping & Demos
Quickly conceptualize, build, and present functional, end-to-end data and AI demos (e.g., live dashboards, real-time pipelines, or LLM/RAG prototypes) to stakeholders and clients.
Core Data Engineering
Build scalable, efficient ETL/ELT pipelines using Spark (PySpark/SQL), Delta Lake, and structured streaming. Ensure optimal performance tuning, partitioning, and cost-management of Databricks clusters.
Global Collaboration & Autonomy
Work independently with minimal supervision, managing your own schedule to align with global, cross-functional teams.
Required Skills & Qualifications
Databricks & Governance Mastery
Proven track record implementing Databricks Unity Catalog for data governance, access control, and data lineage.
Deep understanding of Databricks architecture, including Delta Lake, serverless compute, and Workflows.
Core Data Engineering Excellence
Strong foundational knowledge of data engineering principles (star schemas, dimensional modeling, data warehousing vs. data lakes).
Advanced proficiency in Python/PySpark and SQL.
Experience building robust orchestrations and handling both batch and real-time streaming data.
Experience in building AI/ML workloads (e.g., MLflow, LLM integration, or RAG frameworks) within Databricks.
Agility & Communication
Exceptional ability to build quick, concrete POCs (Proof of Concepts) and technical demos that clearly translate data capabilities into business solutions.
Excellent communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.
Preferred Qualifications
Certifications such as Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional.
Experience integrating Databricks with enterprise ecosystems, cloud provider native services (AWS/Azure/GCP), or modern BI tools.
Ovii Interpretation
This senior Data & AI Engineer role focuses on building Databricks-based data architecture, governed pipelines, and working AI demonstrations. The work combines data engineering, performance and cost tuning, and translating technical capabilities into solutions for stakeholders and clients.
Role at a glance
Senior data and AI engineeringDatabricks platform specializationData pipeline architectureGovernance and lineageAI/ML prototypingTechnical demonstrations
Skills mentioned
DatabricksUnity CatalogDelta LakeApache SparkPySparkPythonSQLStructured streamingETL/ELTData orchestration
What you will likely work on
- Design and implement data pipelines on Databricks and its Lakehouse platform.
- Configure governance, access controls, and lineage through Unity Catalog.
- Build ETL/ELT pipelines and batch or streaming data workflows using Spark, SQL, and Delta Lake.
- Tune pipeline performance, partitioning, cluster use, and Databricks costs.
- Create and present end-to-end data and AI demonstrations, such as dashboards, streaming pipelines, or LLM/RAG prototypes.
- Develop AI/ML workloads within Databricks and connect data capabilities to business use cases.
- Coordinate independently with cross-functional teams across time zones and explain technical concepts to varied audiences.
Good fit signals
- Has 10 or more years of experience, including deep Databricks expertise and hands-on Unity Catalog implementation.
- Can work with Python/PySpark and SQL, and apply core data engineering and modeling practices.
- Has built orchestration and both batch and real-time streaming workflows; AI/ML workload experience is also requested.
- Can quickly develop practical technical demonstrations and explain their business relevance to technical and non-technical audiences.
- Experience integrating Databricks with cloud-native services or BI tools, and relevant Databricks certifications, is preferred.
Cognida builds and operates AI systems for enterprises and helps AI developers train and evaluate models. Its engineers work alongside customer teams to connect models with business data, software and approval processes. Its Zunō platform provides tools for evaluating, deploying and monitoring AI applications. Its Automate product helps finance teams review contracts, process invoices and match purchase orders while retaining an audit trail. Customers include garage door manufacturer Clopay and healthcare services firm The Phia Group. Across its projects, Cognida has applied AI to tasks such as generating quotes from customer requests, forecasting inventory and identifying customers at risk of leaving.
- Founded
- 2021
- Company size
- 201–500 employees
- Company stage
- Series A
- Headquarters
- Sunnyvale, USA
Why work here
Engineers at Cognida work alongside customer teams and stay involved after deployment, so they can see how a model performs when people rely on it to quote a job, review a contract or approve an invoice. Cognida reports 72 customers worldwide and more than 85 AI solutions in production. Its work spans model evaluation, data engineering and application development. Its internal academy offers hands-on training and on-the-job learning.
- Industry
- Enterprise AI and Data Engineering
- Open jobs
- 9 open jobs
- Total funding
- US$19.7 million in disclosed funding
- Notable investors
- Nexus Venture Partners, Raju Reddy, Ashish Gupta
Tech stack
Python
Programming language
Databricks
Data engineering and analytics
Databricks Unity Catalog
Data governance
Google Cloud
Cloud infrastructure
Claude
Large language models
Qlik
Business intelligence and data integration
Playwright
Test automation
Key people
8 peopleFeroze MohammedFounder and Chief Executive OfficerView bioHide bio
Mohammed founded Cognida to help businesses put AI into everyday use and serves as CEO. He previously led the Digital Solutions business at Hitachi Vantara and worked on product development and enterprise systems integration at Sierra Atlantic. He holds a Master of Computer Applications from the University of Hyderabad.
Gopalakrishna KuppuswamyCo-founderView bioHide bio
Kuppuswamy co-founded Cognida and designed its Zunō platform. As Chief Innovation Officer, he leads technology development for enterprise AI applications. He previously served as a vice president at Hitachi Vantara.
Abid MohammedCo-founderView bioHide bio
Mohammed is a technology co-founder and software architect with experience in product engineering and digital systems at Hitachi Vantara. His work at Cognida includes Codien, an AI tool that converts older automated tests to Playwright and helps engineers write new ones.
Deb AcharyaCo-founderView bioHide bio
Acharya co-founded Cognida and leads its global AI solutions and consulting practice, working with enterprise customers on how to apply AI to their operations. He previously worked at Hitachi Vantara.
View all 8 peopleShow fewer people
Pavan TadepalliCo-founderView bioHide bio
Tadepalli is a co-founder and Chief Customer Officer. Before Cognida, he led Hitachi Vantara’s global Digital Enterprise practice as a senior vice president. His earlier roles included leading enterprise applications at Hitachi Consulting and global delivery at Sierra Atlantic.
Hitesh SanghaviChief Operating OfficerView bioHide bio
Sanghavi oversees Cognida’s operations. His background includes finance and operations at Sierra Atlantic, and he works with Cognida employees on professional development through leadership discussions.
Sumesh BalakrishnanChief Financial OfficerView bioHide bio
A member of Cognida’s founding team, Balakrishnan oversees finance, legal affairs and investor relations. He previously led Asia-Pacific finance at Hitachi Consulting. He is a chartered accountant and holds an MBA from the National University of Singapore.
Mohandeep SinghChief Business OfficerView bioHide bio
Singh leads sales, marketing, partnerships and growth within existing accounts. Before joining Cognida in 2026, he led new-business sales on the US West Coast for Hexaware Technologies and held enterprise sales leadership roles at HCL America.
Latest company news
3 storiesCognida acquires the Automate accounting platform from Within
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Cognida acquired Automate and its team from Within, formerly Klarity. Automate continues as a distinct product for revenue accounting, contract review, invoice processing and purchase-order matching.
Read articleCognida partners with Klarity to map business processes for AI deployments
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Cognida announced plans to use Klarity’s platform to document how work gets done at client companies. Its engineers would use that information when designing and deploying AI systems.
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