Quantiphi

Backend Engineer

• Oversee migration and modernization of databases from Bigdata tech stack to AWS
• Provide technical guidance to the data engineering team
• Design AWS architecture for database services
• Implement migration strategies ensuring best practices
• Collaborate with application and infrastructure teams
• Identify and implement performance improvements
• Ensure compliance with data security and governance

Senior Technical Architect – Data

Data Engineer

• Build large-scale data pipelines
• Process both real-time and batch workloads
• Build Kafka producers for data ingestion
• Work with Confluent Kafka/spark for streaming ingestion
• Implement monitoring dashboards and observability for pipelines
• Validate data accuracy and develop job-level metrics
• Build alerting mechanisms for pipeline failures and performance issues
• Collaborate with team members and mentor junior developers

Senior Data Engineer

• Working in a global and diverse culture built on transparency, diversity, integrity, learning and growth.
• Encouraging to innovate and excel, not just in professional but personal life
• Collaborating with cross-functional teams to understand their requirements and implement solutions

Associate Technical Architect – Data

Manager

• Champion project delivery using Scrum methodology
• Manage customer relationships and ensure success and satisfaction
• Oversee project financials and optimize margins
• Collaborate with technical architects to create solutions

Senior Engagement Manager

• Work with business users and other stakeholders to understand business processes.
• Ability to design and implement Dimensional and Fact tables
• Identify and implement data transformation/cleansing requirements
• Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
• Develop conceptual, logical and physical data models with associated metadata including data lineage and technical data definitions
• Design, develop and maintain ETL workflows and mappings using the appropriate data load technique.
• Provide research, high-level design and estimates for data transformation and data integration from source applications to end-user BI solutions.
• Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.
• Analyze and resolve problems and provide technical assistance as necessary.
• Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.
• Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.
• Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform into reporting & analytics.
• Build transformation Jobs on SnowFlake to transform source data to target schema used in BI tools.
• Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
• Train business end-users, IT analysts, and developers.

Associate Data Architect – Snowflake

• Lead vision for a next-generation data layer designed specifically for Agentic AI.
• Define high-performance schemas and orchestrate hybrid-database environments.
• Act as primary technical liaison for customers and lead discovery workshops.
• Establish benchmarks for data latency and retrieval accuracy for real-time demands.

Senior Data Engineer – AI Platforms

Architect

• Work with business users and other stakeholders to understand business processes. Ability to design and implement Dimensional and Fact tables
• Identify and implement data transformation/cleansing requirements
• Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
• Develop conceptual, logical and physical data models with associated metadata including data lineage and technical data definitions
• Design, develop and maintain ETL workflows and mappings using the appropriate data load technique Provide research, high-level design and estimates for data transformation and data integration from source applications to end-user BI solutions.
• Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.
• Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.
• Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.
• Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform into reporting & analytics.
• Build transformation Jobs on SnowFlake to transform source data to target schema used in BI tools.
• Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
• Train business end-users, IT analysts, and developers.

Data Architect – Snowflake

• Design and architect scalable, secure, and high-performance data platforms and architectures on Alibaba Cloud
• Lead the development of modern data ecosystems including data lakes, warehouses, streaming pipelines, and real-time analytics solutions
• Architect and implement solutions leveraging Alibaba Cloud services such as MaxCompute, DataWorks, OSS, ECS, RDS, PolarDB, AnalyticDB, ACK (Kubernetes), Function Compute, and SLB
• Define data models, governance frameworks, security standards, and best practices for enterprise-grade data environments
• Build and optimize ETL/ELT pipelines and batch/streaming ingestion workflows
• Collaborate with cross-functional stakeholders to translate business requirements into scalable, reliable, and compliant data solutions
• Establish Infrastructure-as-Code and CI/CD practices for automated deployment and management of data infrastructure
• Optimize platform performance, reliability, and cost efficiency through monitoring, tuning, and continuous improvement
• Lead cloud modernization and migration initiatives from AWS, Azure, or GCP to Alibaba Cloud data platforms
• Provide technical leadership through architecture reviews, standards development, documentation, and mentorship
• Troubleshoot complex production issues and ensure high availability of mission-critical data systems

Data Architect

Full-stack Engineer

• Build and maintain full‑stack applications.
• Develop backend services and RESTful APIs.
• Implement front‑end features with modern UI frameworks.
• Design and maintain backend database artifacts (schemas, stored procedures, views, etc.).
• Ensure quality through automated testing.
• Collaborate across teams to deliver end‑to‑end solutions.

Senior Software Developer

Sales

• Drive Revenue & Market Dominance
• Spearhead high-impact sales campaigns targeting Fortune 2000 Bio/Life Science clients with multi-million dollar deal potential
• Build and monetize C-suite relationships that unlock enterprise-wide transformation opportunities and recurring revenue streams
• Establish yourself as THE Bio/Life Science AWS authority - the first call executives make when planning digital transformation initiatives
• Guide clients through game-changing AI and data modernization journeys that deliver measurable ROI and competitive advantage
• Navigate complex regulatory landscapes to position Quantiphi as the trusted compliance partner
• Own the global Bio/Life Science pipeline - strategically balance quick wins with transformational long-term contracts across multiple regions
• Master the art of expansion selling - turn every delivery success into cross-sell and up-sell goldmines
• Orchestrate seamless sales-to-delivery handoffs that exceed client expectations and fuel referral engines
• Design bespoke AI-powered solutions that solve critical Bio/Life Science challenges and command premium pricing
• Control the entire engagement lifecycle from SOW crafting to delivery oversight, ensuring client satisfaction drives contract renewals
• Partner strategically with AWS Business Unit Leadership to unlock exclusive opportunities and co-selling advantages
• Mobilize Quantiphi's global expertise to deliver world-class outcomes that become case studies for future sales
• Drive digital transformation initiatives that revolutionize Bio/Life Science operations through cutting-edge AI technologies
• Create measurable business value that justifies investment and positions Quantiphi for long-term strategic partnerships

Sales Leader

Financial Planning and Analysis

• Driving monthly book closures
• GL accounting and financial reporting in Workday ERP
• Preparation and review of financial statements
• Preparing necessary balance sheet and P&L schedules
• Preparation of Cash flow on monthly and weekly basis
• Support in managing Treasury operations
• Preparing workings for technical accounting matters
• Support in statutory audits, internal audits and tax audits
• Managing inter-company accounting and reconciliations

Finance Specialist

SDET

• Analyze business requirements, functional specifications, and technical design documents to define comprehensive test coverage.
• Collaborate with development teams to identify, design, and document effective test scenarios and test cases.
• Execute manual and automated test cases; capture, analyze, and report test results.
• Perform functional, system, regression, performance, and API testing across web and mobile (native) applications.
• Identify, log, track, and validate defects through the full defect life cycle in collaboration with development teams.
• Build, enhance, and maintain automated test suites to improve test coverage and efficiency.
• Create and maintain test artifacts including test cases, defect logs, test plans, and test reports.
• Participate in release cycles to ensure testing commitments and quality standards are met.
• Communicate testing progress, risks, and outcomes clearly in both written and verbal formats.
• Maintain strong collaboration and communication within cross-functional teams.

Junior Test Automation Engineer

• Work closely with data analysts, architects, and business teams to understand requirements
• Implement and maintain data models, dimensional modeling for data warehousing, data marts
• Integrate data from various sources including APIs, flat files, relational databases, and cloud services
• Ensure data quality, data governance, and compliance standards are met
• Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and associated tools
• Participate in code reviews, testing, and deployment of data solutions in development and production environments

Senior Data Engineer, Snowflake

Platform Engineer

• Common L1 fixes may include system restarts, network connectivity checks, and model resets
• Daily monitoring and reporting of alert metrics
• Provide immediate resolution and monitoring, including daily reporting
• Regularly verify server environment with constant health checks
• Provide daily/weekly reports on system performance and incidents
• Schedule regular downtime for system updates while minimizing disruption
• Provide L2/L3 support when issues cannot be resolved via runbook
• Adhere to Service Level Agreements for response and resolution
• Monitor support mailbox for client issues and class security checks
• Monitor GCP console dashboards and act according to runbook

Senior Platform Engineer

Client Partner

• Support and manage enterprise workloads on cloud or AWS
• Lead client discussions and presentations for business case understanding
• Manage the sales cycle from ideation to proposal/SOW creation
• Handle pre-sales activities and go-to-market strategies for cloud initiatives
• Collaborate with cross-functional teams to implement solutions
• Design enterprise architectures on AWS based on client needs