Data Architect

About JMAN:

• JMAN Group is a growing technology-enabled management consultancy that empowers organizations to create value through data.
• Founded in 2010, we are a team of 600+ consultants based in London, UK, and a team of 450+ engineers in Chennai, India. Having delivered multiple projects to the US, we are now opening a new office in New York to help us support and grow our US client base.
• We approach business problems with the mindset of a management consultancy and the capabilities of a tech company. We work across all sectors, and have in depth experience in private equity, pharmaceuticals, government departments and high-street chains.
• Our team is as cutting edge as our work. We take pride for ourselves on being great to work with – no jargon or corporate-speak, flexible to change and receptive of feedback.
• We have a huge focus on investing in the training and professional development of our team, to ensure they can deliver high-quality work and shape our journey to becoming a globally recognized brand. The business has grown quickly in the last 3 years with no signs of slowing down.

Why work at JMAN?

Our vision is to ensure JMAN Group is the passport to our team’s future. We want our team to go on a fast-paced, high-growth journeywith us – when our people want to do something else, the skills, training, exposure, and values that JMAN has instilled in them should open doors all over the world.

Current Benefits:

• Competitive annualbonus
• Market-leading privatehealth insurance
• Regular companysocials
• Annual companyaway days
• Extensive trainingopportunities

Technical Specifications

• Minimum 10+ years of experience as a Data Architect, with proven expertise in developing and implementing data strategies and data architecture designs.
• Strong understanding of cloud-based data warehousing and lakehouse methodologies, including Microsoft Fabric, Snowflake, and Databricks.
• Mandatory experience with: Microsoft Fabric, Databricks, Snowflake, SQL, and PySpark.
• Thorough understanding of data governance and security principles, along with experience in data pipelines and ETL/ELT tools, including Azure Data Factory (ADF), Synapse, and dbt.
• Excellent communication, collaboration, and problem-solving skills are essential.
• Proficiency in PySpark and/or SQL, with knowledge of data patterns, data modelling (both Dimensional and Data Vault), and data/product migration.
• Good-to-have skills include data visualisation and analytics using Power BI or Tableau.

Responsibilities

• Develop and implement a comprehensive data strategy aligned with business objectives.
• Design and architect a modern data platform using cloud technologies such as AWS and/or Azure.
• Build and manage a scalable and secure data warehouse, leveraging modern data solutions and implementing data ingestion pipelines for various data sources.
• Implement CI/CD pipelines for data pipelines and infrastructure using DevOps tools and methodologies.
• Implement data governance and security best practices to ensure data quality, compliance, and effective metadata management.
• Collaborate with cross-functional teams to understand data requirements, develop data models, and build analytics solutions to support reporting, analytics, and AI initiatives.
• Stay updated on emerging data technologies, recommend innovations, and evaluate and recommend appropriate cloud data platforms.
• Lead and manage a team of data engineers, providing technical guidance, monitoring end-to-end operational processes, and overseeing the development and maintenance of data pipelines to ensure quality, reliability, security, and scalability.
• Assess existing architecture and data maturity, identify gaps, propose solutions, and implement dimensional modelling, business-domain data conversion, and Data Vault design patterns.

Required Skillset:

• ETL or ELT: Fabric, Snowflake, Databricks (Mandatory), AWS Glue/ 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 programming languages
• Data Visualization: Power BI/Tableau. (Anyone-Good to have).
• AI platforms
• 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 professional growth.
• Advocacy & Organizational Citizenship – Represent JMAN positively, uphold company values, respect others, and honor commitments, including punctuality and timely delivery