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MUST-HAVES:
- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
Job Description
- Lead the Data Solutions function and be the POC for all Agency Digital and Data leads to liaise on client requirements, and ensuring the appropriate solutions are rolled out.
- General agency pitch support for data as needed but more proactively creating consulting frameworks around client 1st PD data architecture, guidance, and recommendation around CDPs implementation, vs DMP, Mar-tech stack
- Establish working relationship and SOP for implementation delivery for Mar-Tech projects
- Contribute to team projects as the executive sponsor for client data initiatives, support the agencies in audience planning strategies utilising all data assets
- Own the setup elements such as first party data, tag integration (tag management systems, custom data integrations, CRM connections, etc.), custom data partner integration development.
- Work with data partners to integrate their data sets into [m]insights (Onboarding & Testing Data Sets)
- Manage the Mar-tech partners, working on JBPs to achieve shared goals of client enablement
- Work closely with the global and regional product team to test and rollout new features, special with the cookieless future of audience planning tools
Requirements
- 10+ years of experience in Technology Consulting role within Adtech/Martech
- Bachelor’s or master’s degree in a relevant field (Data, Technology, IT, Marketing)
- Certifications (or advanced knowledge) in DMP, CDP, Mar-tech & digital analytics platforms
- A strong understanding of all digital marketing channels
- Familiar with advanced analytics and data management concepts
- Proven ability to build and grow relationships with key stakeholders
- Excellent written and verbal communication skills.
- Flexibility to work in a cross-functional team but also have the initiative to problem-solve independently.
- Highly organised with demonstrated project management capabilities
Job Description for :
Role: Data/Integration Architect
Experience – 8-10 Years
Notice Period: Under 30 days
Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.
Core Skillsets:
Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.
Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop
Should have worked on Agile
Sound communication skills
Should be open to learning new technologies based on business needs on the job
Additional Skills:
Awareness of other data/integration platforms like Mulesoft, Camel
Awareness Hadoop, Snowflake, S3
Designation – Deputy Manager - TS
Job Description
- Total of 8/9 years of development experience Data Engineering . B1/BII role
- Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
- Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
- Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
- Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
- Strong Python skill .
- Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
- Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
- Life Science & Healthcare domain background will be a plus
Qualifications
BE/Btect/ME/MTech
The Opportunity
As a Pre-Sales Engineer, you will be responsible for technical account leadership and management for the Denodo Sales Cycle across multiple strategic accounts, including relationships with technical counterparts within those organizations. The selected candidate will be working closely with experienced Sales, Marketing and Product Management personnel and will be supported by a strong technical team in an ideal, fast paced, rapidly growing startup environment to grow professionally and go beyond expectations.
Your career with us will combine cutting edge technology, exposure to worldwide clients across all industries (Financial Services, Automotive, Insurance, Pharma, etc.) and an exciting growth path as part of a global team.
Duties & Responsibilities
As a Sales Engineer you will successfully employ a combination of high technical expertise, client communication and coordination skills between clients and internal Denodo teams to achieve your mission.
Product and Technical Knowledge:
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Obtain and maintain strong knowledge of the Denodo Platform, be able to deliver a superb demo and technical pitch, including overview of our key and advanced features and benefits, services offerings, differentiation, and competitive positioning
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Be able to address a majority of technical questions concerning customization, integration, enterprise architecture and general feature / functionality of our platform
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Capable of building and/or leading the development of custom demos and PoCs based and beyond customer requirements
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Provide timely, prioritized and complete customer-based feedback to Product Management, Sales, Support and/or Development regarding customer requirements and issues.
Presentation and organizational skills:
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Train and engage customers in the product architecture, configuration, and use of the Denodo Platform
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Know where to escalate within the Denodo technical organization, and make effective use of those resources.
Customer engagement:
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Enthusiastically present software solutions to prospective customers, from IT managers and technicians to C-level executives
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Lead the completion of RFI and RFP
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Manage client expectations, establish credibility at all levels within the client and build problem-solving partnerships with the client and colleagues
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Along with Marketing, Sales, Sales Engineering and Product Management, and based on market or customer feedback, lead the definition, development and presentation of product and solution demos and PoCs for prospects and partners
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Provide technical support to entire sales team as appropriate (e.g. handle technical questions and escalate them when required, conduct training and/or briefings)
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Document and track all activity through CRM and an internal wiki, including lead/prospect data entry, detailed activity reports, setting tasks for follow-up, architectures, challenges, etc.
Qualifications
Desired Skills & Experience
- BS or higher degree in Computer Science
- 5+ years as a Sales/Solution Engineer, Consultant or Enterprise Architect
- Must have excellent verbal and written communication skills to be able to interact with technical and business counterparts
- Knowledge and experience on Enterprise Architecture Best Practices and Frameworks will be a plus
- A “can do” attitude
- Willingness to travel
Hands-on working experience in any of the following areas:
- Solid understanding of SQL and a good grasp of relational and analytical database management theory and practice. Understanding and optimization of complex queries.
- Understanding of Data Integration flavors (ETL/Data Warehousing, ESB/Messaging, DV).
- Understanding of BigData, NoSQL, in-memory, MPP environments is welcome.
- Technical skills include JDBC/ODBC, XML, JSON, REST APIs, Java development and version control systems. Good knowledge of software development and architectural patterns.

