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Job Title : Ironclad CLM Consultant (Analyst/Consultant Level)

Experience Required : 3+ Years

CTC: Up to 25 LPA

Location : Hyderabad, Bangalore, Mumbai, Pune, Chennai, Gurgaon

Work Mode : Hybrid

Job Summary :

We are seeking skilled professionals with hands-on experience in Ironclad Contract Lifecycle Management (CLM) to join our team. The ideal candidate will have a strong understanding of contract configuration, including MSAs, SOWs, and other templates, as well as experience integrating Ironclad with Salesforce. This role is suited for Analyst or Consultant-level candidates.

Mandatory Skills : Ironclad CLM (2–2.5+ years), contract template configuration (MSAs, SOWs), Ironclad-Salesforce integration, 2–3 implementation projects.

Key Responsibilities :

• Configure contract templates (e.g., MSAs, SOWs) within Ironclad CLM.
• Participate in and deliver 2-3 end-to-end Ironclad implementation projects.
• Integrate Ironclad with CRM tools, especially Salesforce.
• Collaborate with cross-functional teams to define requirements and implement solutions.
• Provide documentation, testing, and support for Ironclad-related projects.

Must-Have Skills :

• 2–2.5+ years of hands-on experience in Ironclad CLM.
• Experience with at least 2-3 Ironclad implementation projects.

Good-to-Have Skills :

• Working knowledge of Salesforce CRM.
• Familiarity with Salesforce CPQ.

Job Summary:

We are looking for a highly skilled and experienced Data Engineer with deep expertise in Airflow, dbt, Python, and Snowflake. The ideal candidate will be responsible for designing, building, and managing scalable data pipelines and transformation frameworks to enable robust data workflows across the organization.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines using Apache Airflow for orchestration.
• Develop modular and maintainable data transformation models using dbt.
• Write high-performance data processing scripts and automation using Python.
• Build and maintain data models and pipelines on Snowflake.
• Collaborate with data analysts, data scientists, and business teams to deliver clean, reliable, and timely data.
• Monitor and optimize pipeline performance and troubleshoot issues proactively.
• Follow best practices in version control, testing, and CI/CD for data projects.

Must-Have Skills:

• Strong hands-on experience with Apache Airflow for scheduling and orchestrating data workflows.
• Proficiency in dbt (data build tool) for building scalable and testable data models.
• Expert-level skills in Python for data processing and automation.
• Solid experience with Snowflake, including SQL performance tuning, data modeling, and warehouse management.
• Strong understanding of data engineering best practices including modularity, testing, and deployment.

Good to Have:

• Experience working with cloud platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).
• Exposure to modern data stack tools (e.g., Fivetran, Stitch, Looker).
• Knowledge of data security and governance best practices.

Note : One face-to-face (F2F) round is mandatory, and as per the process, you will need to visit the office for this.

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

Key Responsibilities:

• Source potential candidates through LinkedIn, job portals, social media platforms, and other recruitment channels.
• Screen resumes and conduct initial telephonic or virtual interviews to assess suitability.
• Coordinate and manage the complete interview process with hiring managers.
• Negotiate salary offers and support candidates throughout the onboarding process.
• Maintain accurate and updated records in the Applicant Tracking System (ATS).

Qualifications & Skills:

• Minimum 2+ years of hands-on experience in recruitment or talent acquisition.
• Strong working knowledge of multiple job portals and sourcing techniques.
• Excellent communication, interpersonal, and negotiation skills.
• Ability to manage multiple positions and meet hiring deadlines effectively.

• 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors. 
• 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka 

• Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features 

We are currently looking for a Senior SEO and PPC Marketing Expert who will work with a team of developers, Product Owner, and Managers. You shall be responsible for conceiving and conducting the user research to translate them into actionable best SEO practices, activities and paid campaigns. You will also design the overall accessibility and 'findability' of the mobile application and web-platform, as well as other associated websites.  

• Gather the user requirements in collaboration with the Product Owner and Manager.
• Prepare and present the rough drafts to internal teams.
• Assist in translating best practices that lead to targeted organic user experiences.
• Helping to facilitate the product owners' product visions by researching, conceiving and implementing best SEO + PPC practices to achieve the targest.
• Help identify design problems and devise elegant solutions.
• Work with the team to create a strategic design and SEO decisions related to core, and new, functions and features.
• Take a user-centered design approach and rapidly test and iterate your designs.
• Collaborate with a cross-functional team of designers, product managers, and leads on all phases of the product development life cycle
• Incorporate best practices for accessibility, usability, web performance, and design into our products and ultimately champion more consistent and delightful user experience.
• Work with front-end developers and designers in all aspects of UX development.
• Perform research, evaluations, and validations of moderate complexity.
• Provide solutions using appropriate research methodology, tools, and protocols considering a user-centered approach.
• Perform usability/heuristic evaluations and validations across the product or solution life-cycle.

            Minimum Eligibility:

• Minimum 3 -4 years of experience in SEO and PPC
• Ability to effective communications and collaboration with other designers and product owners/managers to ensure the best possible ways of UX experience.
• Creative and Artistic nature.
• Knowledge of PPC and automation platforms would be ideal
• Experience in taking input from multiple sources and synthesizing it into coherent design ideas.
•