JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 650 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023.

Technicalspecifications

·Minimum10+ years of experience asa Data Architect,withprovenexpertise in developing and implementing data strategies and data architecture design.

·Strong understanding of cloud-based data warehousing and lakehouse methodologies, including Microsoft Fabric, Snowflake and Databricks.

·Mandatory experience with: Microsoft Fabric, Databricks, Snowflake, SQL, PySpark.

·Thorough grasp of data governance and security principles, along with experience in data pipelinesandETL/ELTtools, includingADF/Synapse,dbt.

·Excellentcommunication,collaboration,andproblem-solvingskillsareessential.

·Proficiencyin PySparkorSQLlanguages, knowledgeof datapatterns, data modelling (both Dimensional and Data Vault), and product migration.

·Good tohave skillsincludedata visualization using PowerBI,Tableau

Responsibilities





·Developandimplementacomprehensivedatastrategyalignedwithbusinessobjectives.

·Designandarchitecta moderndataplatformusing cloudtechnologies (e.g.,AWS/Azure).

·Buildandmanageascalable,securedatawarehouseleveragingmodernsolutions,including implementing data ingestion pipelines for various sources.

·Implement CI/CDpipelinesfordatapipelinesand infrastructureusing DevOpstools and methodologies.

·Implementdatagovernanceand securitybestpractices toensuredataquality,compliance, and manage metadata.

·Collaborate withcross-functionalteamstounderstand data needs,developdata models,and build analytics tools for reporting, analytics, and AI initiatives.

·Stayupdatedonemergingdata technologies,recommend innovations,and evaluate/recommend cloud data platforms.

·Manage and lead a team of data engineers, providing guidance, monitoring end-to-end operationalprocesses,andoverseeing thedevelopment andmaintenanceof datapipelinesto ensure quality, reliability, security, and scalability.

·Diagnosingexistingarchitectureanddata maturity,identifyinggaps,proposing solutions,and implementing dimensional modelling and business domain conversion/Data Vault design pattern.

Required Skillset:

·ETLorELT: Fabric, Snowflake, Databricks (Mandatory), AWSGlue/ADF/Synapse/Fivetran/dbt(Anyone- Mandatory).

·Data Warehousing:



Fabric Lakehouse and Warehouse or Azure Databricks - Mandatory; Snowflake, Azure SQL, Redshift – (Good to have).

·Cloud Experience: Azure (Mandatory), AWS (Secondary/Preferred)

·Quality,Reliability,Security,and Scalability-Data Pipelines

·PySpark/SQL programminglanguages

·Data Visualization:PowerBI/Tableau.(Anyone-Goodtohave).

·AIplatforms

·Data Governance (Purview).

·Data Modelling.

Behavioral Competencies:

At JMAN, we expect our team members to embody the following:

·Self-Driven & Proactive – Take ownership, execute tasks independently, and drive solutions with minimal supervision.

·Adaptability & Resilience – Thrive in a high-performance, entrepreneurial environment and navigate dynamic challenges effectively.

·Commitment & Engagement – Ensure timesheet compliance, attend meetings regularly, follow company policies, and actively participate in org-wide initiatives.

·Teamwork & Collaboration – Share knowledge, support colleagues, and contribute to talent retention and team success.

·• Professionalism & Continuous Improvement – Maintain a professional demeanor and commit to ongoing learning and self-improvement.

·• Mentoring & Knowledge Sharing – Guide and support junior team members, fostering a culture of continuous learning and qualified growth.

·• Advocacy & Organizational Citizenship – Represent JMAN positively, uphold company values, respect others, and honor commitments, including punctuality and timely delivery

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📌 Data Architect (India)
🏢 JMAN Group
📍 India