Vijay Mohit

Cloud & Data Solutions Architect | Sig Combibloc

• Led client discovery workshops to identify MVP products for immediate business value.
• Developed business case and secured project funding through CIO engagement.
• Defined phased migration roadmap from legacy on-premises systems to Azure Data Platform, highlighting value at each stage.
• Architected scalable Azure Data Platform and planned maturity model for phased delivery.
• Established Architecture Forum and cadences; upskilled client teams in modern cloud and engineering practices resulting into signifact reduction in delivery timelines by a third , increased team collaboration, and more better code and data quality products delivery increasing business trust in data and platform.
• Designed and implemented the team operating model; led a 18-member global delivery team across onshore, offshore, and nearshore locations.
• Collaborated with Microsoft to secure platform funding, resulting in £50K client savings for 2025.
• Delivered AI-driven use cases, including Asset Health Monitoring and Polymer Reduction, using machine learning and advanced analytics.
• Architected and integrated data pipelines from SAP, GE Historian, and GE Predix, ensuring efficient ingestion and transformation.
• Coordinated across functions—Platform Operations, Data Engineering, Governance, Security, and DevOps—to ensure smooth, on-time delivery of platform and data products.

• Key Technologies & Tools:

Azure Synapse , ADLS Gen2 , Azure Event Hubs , Azure IoT hubs, Azure purview , Azure Cosmos DB , Delta Lake , Azure Key vault , Power BI , Azure Containers , Azure Open AI service

• Integration Advisor | Zilch
• Collaborated with a £145M+ revenue Fintech firm to accelerate integration with affiliate partners by implementing a scalable iPaaS solution (Workato).
• Led vendor selection through a comparative analysis of iPaaS platforms, evaluating functionality, cost, and alignment with business needs, and facilitated procurement and onboarding of Workato.
• Developed a decision-making framework to guide the use of iPaaS vs. alternative tools (e.g., Fivetran), ensuring strategic alignment and optimal tool usage.
• Designed and delivered reusable Workato pipelines following best practices; mentored business analysts to build integrations using low-code capabilities, reducing reliance on engineering resources.
• Provided detailed documentation and training, including playbooks and development standards, to support long-term maintainability and operational self-sufficiency.
• Reduced affiliate integration timelines by over 75%, from 3–4 weeks to under 1 week, and achieved substantial cost savings by eliminating the need for additional data engineering hires.
• Key Technologies & Tools:

Fivetran , Workato , AWS Data Platform Services (S3, Redshift), Sharepoint

Cloud and Data Solutions Architect | FIS - Worldpay

• DataOps Capability Development & Sales Proposition: Led the sales proposition for establishing DataOps capabilities, demonstrating its value in streamlining data engineering workflows and enhancing operational efficiency.
• Global Thought Leadership & Advocacy: Spearheaded multiple market stalls across the client’s US, UK, and India offices to showcase the benefits of a modern cloud-based data platform and DataOps best practices, driving awareness and adoption.
• Team Building & Agile Ways of Working: Established a high-performing DataOps team from the ground up, defining best practices, frameworks, and methodologies for delivering the organization's first DataOps pipeline.
• Executive Stakeholder Engagement: Collaborated with cross-functional senior leadership teams, providing regular updates on progress, key milestones, and the business value delivered through DataOps implementation.
• End-to-End Architecture Delivery: Designed and implemented a comprehensive technology architecture for a next-generation DataOps pipeline, integrating multiple complex technologies to ensure scalability, automation, and efficiency.
• Multi-Role Leadership & Hands-On Execution: Served as the Lead Architect, Assignment Manager, Delivery Manager, and Product Manager, overseeing strategy, execution, and delivery while remaining hands-on in technical development.

Key Technologies & Tools:

Snowflake, Soda, Sqitch, DBT, Astronomer, Kafka, AWS (S3, IAM), Terraform Cloud, Ansible, Bitbucket, Cloudbees Jenkins, , CheckMarx , Python, Scala, Rally, Confluence

Lead Cloud and Data Solutions Architect | BPP University

• Strategic Cloud Migration Leadership: Led and advised the client on migrating from a legacy data platform to a cloud-based solution, ensuring a seamless transition and alignment with business objectives.
• Deep-Dive Analysis & Strategy Development: Conducted a thorough analysis of existing tool stacks, data products, and key client challenges to define a compelling value proposition, data and cloud strategy, and a structured delivery roadmap.
• Architectural Decision-Making & Governance: Chaired the Architecture Development Forum for Cloud and Data, creating multiple Architecture Decision Records (ADRs) and Requests for Change (RFCs) to guide key architectural and tool selection decisions based on cost-benefit analysis.
• Stakeholder Engagement & Approvals: Engaged with the Chief Technology & Product Officer (CTPO) and Director of Analytics to secure buy-in and approvals for the cloud migration strategy and tool selection.
• Snowflake Cloud Platform Implementation: Led the end-to-end process of evaluating and recommending Snowflake, establishing vendor partnerships, procurement, and overseeing the implementation of the client’s first cloud-based data platform on AWS and Snowflake.
• Modern Data Engineering & DataOps Adoption: Mentored and coached the client’s data teams on modern engineering practices, incorporating DataOps methodologies to enhance efficiency and collaboration.
• Vendor & Tool Procurement Management: Collaborated with multiple vendors to evaluate and procure the best-fit tools, ensuring cost optimization and alignment with long-term data strategy.
• AWS Security & Compliance Reviews: Conducted Well-Architected Framework Reviews (WAFR) for the client’s AWS accounts, ensuring adherence to best practices in security, reliability, and cost management.
• Team Building & Leadership: Established and led a new team from the ground up to design and build the cloud data platform, re-architecting the on-premises data infrastructure for enhanced scalability and performance.
• Operational & Cost Efficiency Gains:Reduced operational overhead by over 80%, optimizing resource utilization and automation.
  Accelerated analytics and reporting delivery by over 200%, improving data-driven decision-making.
  Streamlined the tool stack, reducing tools by 50%, leading to a 30% cost savings on licensing expenditures.
  
• Training & Onboarding: Developed and executed a training plan to upskill and onboard the client’s existing data engineers to the new platform, ensuring a smooth transition and knowledge retention.
• Executive Coaching & Knowledge Transfer: Onboarded the client’s new Head of Engineering and provided mentorship on the new cloud platform and future technology roadmap.

Key Technologies & Tools:

AWS Eventbridge , AWS Appflow , AWS Airflow , Snowflake, Salesforce , Great expectations, Liquibase, DBT, AWS (S3, IAM), Terraform Cloud, Github, Github Actions, Alteryx, Confluence

Chief Cloud Migrations Architect and Lead Delivery Manager | PGIM - USA

• Led Data Center Migration to AWS Cloud: Spearheaded the migration of a large enterprise's data center to the AWS Cloud platform, driving a successful transition from on-premises infrastructure to a fully scalable, cloud-based environment.
• Discovery & Portfolio Assessment: Conducted in-depth discovery and analysis, building comprehensive portfolios of applications and databases to be migrated, ensuring that each asset was assessed for compatibility and optimized for cloud adoption.
• Migration Strategy & Roadmap: Defined the migration strategy, scope, roadmap, and timeline, ensuring a structured and phased approach to minimize disruption and maximize efficiency throughout the migration process.
• Stakeholder Engagement & Alignment: Collaborated with key stakeholders including the CTO, Director of Technology, and Director of Infrastructure to gain executive buy-in and align the migration plan with business objectives and technology goals.
• Team Leadership: Led a cross-functional team of 15 engineers, coordinating efforts across multiple domains to successfully migrate 70 applications, 8 databases (8TB), and an on-premises data lake (100TB) to AWS S3, optimizing data storage and access for the client.
• AWS Cloud Expertise: Utilized AWS services such as S3, EC2, RDS, and IAM to ensure secure, scalable, and cost-effective cloud solutions. Implemented best practices for data security, disaster recovery, and cloud cost optimization, ensuring long-term value and operational efficiency.

Lead Cloud and Data Solutions Architect | Phoenix Group

• Led Digital Transformation Program: Directed a large-scale digital transformation initiative focused on modernizing the client’s digital and data platforms, migrating to a scalable, cloud-based architecture.
• Cloud Data Platform Architecture: Provided strategic vision and architecture for the design and implementation of next-generation cloud-based data platforms, ensuring scalability, security, and operational efficiency.
• Team Leadership & Management: Managed and mentored technical leads across four specialized teams: Data Engineering, Data Modeling, DataOps, and the Data Platform Product Team, driving collaboration and high performance.
• Cross-Functional Stakeholder Engagement: Collaborated with multiple internal and external stakeholders, including CxO office, Security, Network, Data Architects, and Data Protection Officers (DPO), to deliver tailored solutions that met complex business and regulatory requirements.
• Cloud Native DataOps & Engineering Team Development: Spearheaded the recruitment, training, and establishment of Cloud-native DataOps and Data Engineering teams, ensuring the successful adoption of modern cloud practices and accelerating the talent pipeline through graduate training and certifications.
• Event-Driven Data Pipeline Architecture: Architected end-to-end solutions for building next-generation, event-driven data pipelines, incorporating a secure, scalable data lake to support real-time and batch data processing.
• MLOps Implementation: Partnered with the client’s Data Science team to design and implement MLOps capabilities, enabling automated model deployment, monitoring, and retraining, thereby accelerating data science workflows and enhancing predictive analytics.

Lead Devliery Manager + Architect | Multiple Clients including Barclays , Direct Line Group , MUFG Securities, HSBC , Canara Bank India etc.

• Cloud Migration and Modernization: Led multiple complex cloud migration projects for multiple tier 1 UK based financial institutions, transitioning legacy systems, data warehouses, and applications to AWS, optimizing infrastructure and reducing operational costs.
• Data Engineering & Data Lake Implementation: Architected and delivered secure, GDPR and PCI-compliant data lake solution on AWS, providing clients with a centralized, scalable platform for real-time and batch data processing. This solution enabled enhanced data analysis, reporting, and improved governance, delivering valuable insights across the organization.
• MLOps & DevOps Integration: Implemented MLOps and DevOps capabilities, streamlining workflows for data scientists and developers, and accelerating time-to-value for predictive models and machine learning solutions on the AWS platform.
• Graph Database Solution for Fraud Detection: Architected and developed in house customer identity and fraud detection platform using Neo4J Graph DB, Python, and Flask, enabling the identification of unique customers and fraud cases through advanced graph queries.
• Next-Gen Event-Driven Data Pipelines: Led the design and implementation of an automated, event-driven, cloud-based data pipeline using AWS services, Databricks, and Delta Lake. The solution integrated both batch and real-time data, providing a highly secure, scalable, and version-controlled data lake with built-in data lineage, governance, and schema evolution.
• Client Training and Vendor Management: Developed and executed comprehensive training for clients on cloud platforms, data architecture, and tools like Talend. Led vendor selection and tool evaluation to ensure the right solutions were implemented for seamless data migration and integration.
• Led Snowflake Center of Excellence (CoE) for EMEA and Atlanta: Established and led the Snowflake CoE, enhancing team capabilities and developing business collateral to leverage Snowflake’s key features for optimized data solutions.
• Drove Business Growth Through Snowflake Solutions: Played a key role in multiple sales pitches for Snowflake-based solutions, including cloud migrations and next-generation central data platforms, resulting in successful new business acquisitions.
• Delivered Scalable Data Solutions: Led the design and implementation of Snowflake-driven solutions for clients, improving data management, analytics performance, and overall business intelligence capabilities.

Technologies and Tools Utilized:

• Cloud Platforms: AWS, Hybrid Cloud Strategy
• Data Engineering & Analytics: Snowflake, AWS Redshift, Databricks (Delta Lake), Data Lake, EMR, Kappa Architecture
• Databases & Migration: SQL Server, Neo4J (Graph Database), Microsoft Dynamics, Salesforce
• Security & Compliance: GDPR, PCI DSS, AWS Security Services
• DataOps, MLOps, DevOps: AWS CloudFormation, Sagemaker, DataOps, MLOps, DevOps
• ETL & Data Integration: Talend, Python, Flask
• Machine Learning & Data Science: Model Building, Data Drift Monitoring, Model Retraining

• Drove Business Growth Through Strategic Sales Engagements: Actively participated in multiple sales pitches to position and sell Merkle’s in-house solutions, contributing to both new client acquisitions and the expansion of existing accounts. Successfully onboarded two new clients and played a key role in doubling business from existing clients, driving revenue growth and strengthening long-term partnerships.
• Led High-Performing Technology POD: Managed a cross-functional team of 6-8 members, delivering five client solutions with a focus on scalability, efficiency, and business impact.
• Established Cloud Application & Data Engineering Team: Built and led the first dedicated Cloud Application and Data Engineering team, enhancing the organization's ability to develop and deliver cloud-based solutions.
• Established Cross-POD Community of Practice: Initiated and led a collaborative forum across all technology PODs to continuously explore emerging technologies and assess their potential for enhancing client solutions. This initiative fostered innovation, knowledge sharing, and the strategic adoption of cutting-edge tools.
• Led AWS & Informatica Migration Initiatives: Headed Merkle’s AWS and Informatica migration team, overseeing the transition of in-house solutions to AWS and establishing a scalable framework for enterprise-wide Informatica implementation. This modernization effort improved system efficiency, scalability, and data management capabilities across the organization.
• Implemented GDPR Compliance Framework: Designed reference and target architectures for GDPR governance across multiple solutions and conducted Data Protection Impact Assessments (DPIA), ensuring regulatory compliance and data security.
• Technologies Used : Jira, Informatica, AWS , EMR , Hadoop, Spark, SQL Server , Oracle , Python, Tableau, Qlikview, Apache Nifi, Apache Kafka

• Led Database Practice: Engineered and optimized Condeco’s backend database platform and resource scheduling logic, increasing system performance by over 200%. This improvement enhanced customer satisfaction, strengthened brand reputation, and directly contributed to increased adoption and sales among larger enterprise clients.
• Architected Cloud-Based SaaS Platform:Led the design and deployment of Condeco’s first Azure-based application and data platform, ensuring scalability, security, and cost efficiency while enabling seamless cloud migration. This transformation delivered immediate cost savings of over 30% compared to the existing on-premises infrastructure and accelerated the transition of existing clients from a license-based model to a SaaS-based model, driving long-term revenue growth and operational agility.
• Established and Led Cloud & Data Engineering Function: Built and led a cross-functional team integrating Cloud Solutions Architects, Application Developers, Database Administrators (DBAs), and Data Engineers to drive enterprise application and data initiatives at Condeco.
• Scaled High-Performing Data Engineering Team: Expanded the team from a single resource to 10 skilled professionals, significantly enhancing data capabilities, analytics, and operational efficiency.
• Launched Offshore Development Center: Spearheaded the setup of Condeco’s first offshore development center in India, growing operations from 4 to 60 employees in one year, reducing costs, and accelerating delivery timelines.
• Spearheaded the Architecture and Development of Condeco’s First Data Analytics Platform: Defined the vision and led the design and implementation of a highly optimized analytics platform, enabling advanced reporting capabilities for clients. This innovation reduced critical report processing time by over 75% compared to legacy systems and introduced self-service analytics, empowering clients with ad-hoc reporting and deeper data-driven insights.
• Technologies used:- SSIS , SSAS, SSRS , .Net , Microsoft Azure , python, Jenkins