Role Description We are seeking a highly skilled and hands-on Databricks Solution Architect with deep expertise in designing, building, and optimizing Lakehouse-based Data Engineering, Machine Learning, and AI solutions on the Databricks platform. This contract role is based in Singapore, offering flexibility to work on-site with enterprise clients or remotely within the region. The ideal candidate will have strong experience in architecting modern data platforms, implementing scalable data pipelines, enabling MLOps, and delivering AI/LLM use cases using Databricks technologies. You will lead technical solution design, mentor engineering teams, and collaborate closely with business stakeholders to deliver secure, scalable, and high-performance data solutions. Qualifications - 8+ years of experience in Data Engineering, Big Data, Cloud Data Platforms, or Analytics. - 4+ years of hands-on experience with the Databricks platform. - Strong programming skills in Python and/or Scala. - Extensive experience with Apache Spark and Spark SQL. - Strong knowledge of Lakehouse architecture, data modeling, ETL/ELT design, and streaming data processing. - Experience implementing MLOps practices using MLflow, model lifecycle management, and automated deployment pipelines. - Hands-on experience with Terraform, Git, Azure DevOps, GitHub Actions, or Jenkins. - Strong understanding of cloud platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP). - Experience implementing security, governance, and data access controls using Unity Catalog. - Experience with monitoring, logging, and observability tools. - Strong problem-solving, communication, and stakeholder management skills. Requirements - Design, architect, and implement enterprise-scale Databricks Lakehouse solutions for analytics, data engineering, machine learning, and AI workloads. - Develop scalable batch and streaming data pipelines using Delta Live Tables (DLT), Apache Spark, Spark SQL, Python, and Scala. - Build, optimize, and maintain Delta Lake architectures for high-performance data processing. - Configure and administer Databricks Workspaces, Unity Catalog, SQL Warehouses, clusters, and job orchestration. - Design secure, governed, and compliant data platforms using Unity Catalog, access controls, and data governance best practices. - Implement Infrastructure as Code (IaC) using Terraform and automate deployments through Git-based CI/CD pipelines. - Optimize ETL, ELT, streaming, and machine learning workloads for performance, scalability, cost efficiency, and reliability. - Build and operationalize MLOps pipelines using MLflow, model registry, experiment tracking, and automated model deployment. - Develop AI and Generative AI solutions leveraging DBRX, Mosaic AI, Retrieval-Augmented Generation (RAG), and LLM frameworks. - Integrate enterprise AI services such as OpenAI, Amazon Bedrock, Azure OpenAI, or Hugging Face where applicable. - Implement monitoring, observability, and cost optimization using Splunk, Prometheus, CloudWatch, or similar monitoring platforms. - Collaborate with cross-functional teams, business stakeholders, architects, and customers to define technical roadmaps and deliver enterprise data solutions. - Provide technical leadership, conduct architecture reviews, and mentor engineering teams on Databricks and cloud best practices. Company Description

• You work with multiple clients as the main technical voice for Databricks. • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. • You build a movement of technical champions within the account. • You align technical strategies around Databricks solutions. • You provide structured mentorship for other team members. • Gain your peers' respect through your experience, insight, and contributions.

Role Description The candidate must have a proven track record of implementing and administering Workday, with expert-level knowledge of the Recruitment module and HCM processing. - Workday Pro Certified with mastery-level experience in Workday Recruiting is preferred. - Experience and knowledge of other Workday modules preferred such as Human Capital Management (HCM). - Excellent verbal and written communication, escalation, and conflict resolution skills. - Strong problem-solving skills and ability to troubleshoot technical issues. - Experience developing and delivering training programs. - Strong attention to detail and ability to maintain data accuracy and integrity. - A passion for excellent customer service, adaptable & flexible. Qualifications - Proven track record of implementing and administering Workday. - Expert-level knowledge of the Recruitment module and HCM processing. - Workday Pro Certification preferred. - Experience with other Workday modules preferred. - Excellent communication and conflict resolution skills. - Strong problem-solving and troubleshooting abilities. - Experience in developing and delivering training programs. - Attention to detail and data integrity. - Passion for customer service. Requirements - Mastery-level experience in Workday Recruiting preferred. - Experience with Human Capital Management (HCM) preferred. - Strong verbal and written communication skills. - Ability to troubleshoot technical issues. - Experience in training program development. - Attention to detail. - Adaptability and flexibility. Company Description Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US.

Role Description The Solution Leader - Professional Services is responsible for end-to-end leadership of a specific Client solution portfolio (e.g., Lending, Treasury, Trading, Payments). This role ensures successful execution of implementations, SaaS onboarding, upgrades, and client transformations, while acting as the bridge between Client product teams, Zensar delivery, and end clients. Key Responsibilities - Solution Portfolio Ownership: - Own delivery and execution for a specific Client solution stack (e.g., Lending or Treasury). - Build deep functional and technical understanding of Client products within the solution area. - Act as Zensar's solution evangelist and trusted advisor to Client and clients. - Delivery & Execution Excellence: - Lead multiple concurrent implementation and onboarding programs globally. - Ensure adherence to delivery standards, timelines, quality benchmarks, and risk management. - Resolve complex delivery issues across regions and product integrations. - Client & Partner Collaboration: - Engage directly with client stakeholders (IT, business, operations). - Support Client sales and services teams during pre-sales, solution scoping, and planning. - Provide client assurance on solution design, implementation approach, and outcomes. - Capability & Talent Development: - Build and nurture solution-aligned delivery teams. - Define skill requirements, training pathways, and certification plans aligned to Client products. - Act as a mentor to architects, project managers, and functional consultants. - Commercial & Operational Support: - Support estimation, staffing models, and delivery commercials. - Track solution-level KPIs: utilization, margins, delivery health, and CSAT. - Provide inputs to portfolio planning and forecasting. - Innovation & Continuous Improvement: - Drive learning from delivery experiences to improve implementation frameworks, accelerators, and best practices. - Identify opportunities for automation, tooling, and repeatable assets. - Feed client and delivery insights back to Client product and service teams. - Product Competency Development: - Draw plans for deepening Zensar SI capabilities on client product portfolio. - Align SI delivery capabilities with the client's global implementation roadmap. - Drive Product certifications and surround IP development. Qualifications - 12-18+ years of experience in Financial Services technology implementations. - Deep expertise in at least one domain: Lending, Treasury, Trading, Capital Markets, Payments. - Hands-on experience with Client platforms or comparable solutions. - Strong understanding of professional services delivery models. - Proven ability to manage multi-region teams and complex stakeholders. Success Measures - On-time and high-quality delivery of solution programs. - Client satisfaction and repeat engagements. - Strong, stable delivery teams with growing capability depth. - Positive contribution to portfolio financials.