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Associate Data Architect I
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Role description
Role Proficiency:
Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects.
Outcomes:
- Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP)
- Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards
- Design information structure work-and dataflow navigation. Define backup recovery and security specifications
- Enforce and maintain naming standards and data dictionary for data models
- Provide or guide team to perform estimates
- Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs
- Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML)
Measures of Outcomes:
- Percentage of billable time spent in a year for developing and implementing data transformation or data storage
- Number of best practices documented in any new tool and technology emerging in the market
- Number of associates trained on the data service practice
Outputs Expected:
Strategy & Planning:
- Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
- Implement methods and procedures for tracking data quality
completeness
redundancy
and improvement
- Ensure that data strategies and architectures meet regulatory compliance requirements
- Begin engaging external stakeholders including standards organizations
regulatory bodies
operators
and scientific research communities or attend conferences with respect to data in cloud
Operational Management :
- Help Architects to establish governance
stewardship
and frameworks for managing data across the organization
- Provide support in implementing the appropriate tools
software
applications
and systems to support data technology goals
- Collaborate with project managers and business teams for all projects involving enterprise data
- Analyse data-related issues with systems integration
compatibility
and multi-platform integration
Project Control and Review :
- Provide advice to teams facing complex technical issues in the course of project delivery
- Define and measure project and program specific architectural and technology quality metrics
Knowledge Management & Capability Development :
- Publish and maintain a repository of solutions
best practices and standards and other knowledge articles for data management
- Conduct and facilitate knowledge sharing and learning sessions across the team
- Gain industry standard certifications on technology or area of expertise
- Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s
- Mentor new members in the team in technical areas
- Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery)
Requirement gathering and Analysis:
- Work with customer
business owners and other teams to collect
analyze and understand the requirements including NFRs/define NFRs
- Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer
- Define the systems and sub-systems that define the programs
People Management:
- Set goals and manage performance of team engineers
- Provide career guidance to technical specialists and mentor them
Alliance Management:
- Identify alliance partners based on the understanding of service offerings and client requirements
- In collaboration with Architect create a compelling business case around the offerings
- Conduct beta testing of the offerings and relevance to program
Technology Consulting:
- In collaboration with Architects II and III
analyze the application and technology landscapers
process and tolls to arrive at the architecture options best fit for the client program
- Analyze Cost Vs Benefits of solution options
- Support Architects II and III to create a technology/ architecture roadmap for the client
- Define Architecture strategy for the program
Innovation and Thought Leadership:
- Participate in internal and external forums (seminars
paper presentation etc)
- Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency
- Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices
Project Management Support:
- Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies
Stakeholder Management:
- Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects
on Architecture aspects. Follow through on commitments to achieve timely resolution of issues
- Conduct initiatives to meet client expectations
- Work to expand professional network in the client organization at team and program levels
New Service Design:
- Identify potential opportunities for new service offerings based on customer voice/ partner inputs
- Conduct beta testing / POC as applicable
- Develop collaterals
guides for GTM
Skill Examples:
- Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects
- Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance
- Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST
- Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.)
- Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas
- Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies
- Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders
- Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place
- Strong proficiencies in understanding data workflows and dataflow
- Attention to details
- High analytical capabilities
Knowledge Examples:
- Data visualization
- Data migration
- RDMSs (relational database management systems SQL
- Hadoop technologies like MapReduce Hive and Pig.
- Programming languages especially Python and Java
- Operating systems like UNIX and MS Windows.
- Backup/archival software.
Additional Comments:Job Title: Data Architect – Pharmaceutical CDMO Position Overview The Data Architect builds and manages enterprise data systems that strengthen research, manufacturing, and supply chain excellence. The role blends architecture, analytics, and compliance to transform data into usable intelligence. Key Responsibilities • Design and optimize data architectures supporting pharmaceutical R&D and operations. • Develop end-to-end data models, pipelines, and integrations across multiple platforms. • Implement governance frameworks ensuring data quality, traceability, and GxP alignment. • Partner with technical and business teams to drive data-driven outcomes. • Deploy and manage AWS, Azure, Databricks, Snowflake, Power BI, and Tableau solutions. • Introduce AI, analytics, and automation to streamline decision-making. • Maintain documentation and coach teams on secure, compliant data practices. Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. • 5+ years of experience in data architecture within pharma, biotech, or healthcare. • Strong command of modern data tools—AWS, Azure, Databricks, Snowflake, Power BI, Tableau. • Solid understanding of governance and compliance frameworks (GxP, GDPR, FAIR). • Excellent communication and analytical problem-solving skills. Preferred • Experience in a CDMO or regulated manufacturing setting. • Exposure to IoT, digital twins, or AI/ML applications for smart manufacturing. Current Data Technology Platforms • AWS, Azure: Cloud infrastructure and scalable computing • Databricks, Snowflake: Analytics and data processing • SAS, R, Posit: Statistical and data science tools • Power BI, Tableau: Visualization and reporting • IoT, Digital Twins: Operational intelligence and optimization • AI/ML Platforms: Predictive and prescriptive analytics
Skills
Data Architecture,Modern Data tools,Governance & compliance framework,Analytics
About UST
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