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senior data scientist

data architect

Expleo Group

<div>Overview:
<div>
As a Data Architect with AI Capability, you will be responsible for designing, implementing, and maintaining data architectures that support our business objectives and enable data-driven decision-making. You will work closely with stakeholders across the organization to understand requirements, assess technical feasibility, and develop robust data models and architectures that meet both current and future needs.</div><div></div><div><br>
Overview</div><div>
Responsibilities</div><ul><li>
Collaboration between vertical and data-ai practice for support on driving revenue and delivery support</li><li>
Lead the design and development of enterprise data architectures, including conceptual, logical, and physical data models, data flow diagrams, and data dictionaries.</li><li>
Collaborate with business stakeholders, data engineers, and data scientists to gather and analyze requirements, identify data sources, and define data integration and analytics requirements.</li><li>
Design and implement scalable and cost-effective data storage, processing, and analytics solutions, leveraging cloud-based technologies and platforms where applicable.</li><li>
Evaluate and recommend data management tools, technologies, and frameworks to support data ingestion, storage, processing, and analytics requirements.</li><li>
Develop and maintain data governance policies, standards, and best practices to ensure data quality, security, privacy, and compliance with regulatory requirements.</li><li>
Provide technical leadership and guidance to data engineering teams on best practices for data modeling, data integration, and data architecture.</li><li>
Collaborate with IT infrastructure teams to ensure that data architectures are aligned with infrastructure requirements and constraints.</li><li>
Stay updated with the latest trends, technologies, and best practices in data architecture, data management, and data governance.</li></ul><div></div><div><br>
Qualifications</div><ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.</li><li><b>
10+ years of experience</b> as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures.</li><li><b>
Proficiency in data modeling tools and techniques, including ER modeling, dimensional modeling, and data warehouse design principles</b>.</li><li><b>
Experience with database technologies such as SQL, NoSQL, and NewSQL databases, as well as data warehousing platforms (e.g., Oracle, SQL Server, Snowflake, Redshift).</b></li><li><b>
Hands-on experience with cloud-based data platforms and services such as AWS, Azure, or Google Cloud Platform is highly desirable.</b></li><li>
Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.</li></ul><div></div><div><br>
Experience</div><ul><li><b>
10+ years of experience</b> as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures.</li></ul>
Responsibilities:
<div>
As a Data Architect with AI Capability, you will be responsible for designing, implementing, and maintaining data architectures that support our business objectives and enable data-driven decision-making. You will work closely with stakeholders across the organization to understand requirements, assess technical feasibility, and develop robust data models and architectures that meet both current and future needs.</div><div></div><div><br>
Overview</div><div>
Responsibilities</div><ul><li>
Collaboration between vertical and data-ai practice for support on driving revenue and delivery support</li><li>
Lead the design and development of enterprise data architectures, including conceptual, logical, and physical data models, data flow diagrams, and data dictionaries.</li><li>
Collaborate with business stakeholders, data engineers, and data scientists to gather and analyze requirements, identify data sources, and define data integration and analytics requirements.</li><li>
Design and implement scalable and cost-effective data storage, processing, and analytics solutions, leveraging cloud-based technologies and platforms where applicable.</li><li>
Evaluate and recommend data management tools, technologies, and frameworks to support data ingestion, storage, processing, and analytics requirements.</li><li>
Develop and maintain data governance policies, standards, and best practices to ensure data quality, security, privacy, and compliance with regulatory requirements.</li><li>
Provide technical leadership and guidance to data engineering teams on best practices for data modeling, data integration, and data architecture.</li><li>
Collaborate with IT infrastructure teams to ensure that data architectures are aligned with infrastructure requirements and constraints.</li><li>
Stay updated with the latest trends, technologies, and best practices in data architecture, data management, and data governance.</li></ul>
Qualifications:
<ul><li><div>
Qualifications</div><ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.</li><li><b>
10+ years of experience</b> as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures.</li><li><b>
Proficiency in data modeling tools and techniques, including ER modeling, dimensional modeling, and data warehouse design principles</b>.</li><li><b>
Experience with database technologies such as SQL, NoSQL, and NewSQL databases, as well as data warehousing platforms (e.g., Oracle, SQL Server, Snowflake, Redshift).</b></li><li><b>
Hands-on experience with cloud-based data platforms and services such as AWS, Azure, or Google Cloud Platform is highly desirable.</b></li><li>
Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.</li></ul></li></ul>
Essential skills:
<ul><li><div>
Qualifications</div><ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.</li><li><b>
10+ years of experience</b> as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures.</li><li><b>
Proficiency in data modeling tools and techniques, including ER modeling, dimensional modeling, and data warehouse design principles</b>.</li><li><b>
Experience with database technologies such as SQL, NoSQL, and NewSQL databases, as well as data warehousing platforms (e.g., Oracle, SQL Server, Snowflake, Redshift).</b></li><li><b>
Hands-on experience with cloud-based data platforms and services such as AWS, Azure, or Google Cloud Platform is highly desirable.</b></li><li>
Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.</li></ul></li></ul>
Experience:
<ul><li><b>10+ years of experience</b> as a Data Architect, Data Engineer, or similar role, with a strong background in designing and implementing data architectures.</li></ul></div>

Data Architect

Accenture

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Data Architecture Principles, Amazon Web Services (AWS), Apache Kafka, PySpark<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>18</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: We are seeking a highly experienced Senior Data Architect &amp; Technical Lead to drive the design, development, and delivery of enterprise-scale data platforms and solutions. This role requires deep, hands-on expertise across Data Architecture, Data Design, Data Modelling, Data Management, Governance, Analytics, Migration, and Modernization, along with strong experience delivering Banking domain data products. The ideal candidate will serve as the technical authority for data initiatives, lead cross-functional engineering teams, and define best-in-class data strategies aligned to business and regulatory requirements. The candidate must demonstrate practical proficiency in AWS cloud-native data services (Glue, Lake Formation, Redshift, S3, EMR, Marketplace, SageMaker, Unified Studio), distributed data processing (PySpark), streaming technologies (Kafka), and modern data engineering practices. Key Responsibilities 1. Data Architecture &amp; Technical Leadership &bull; Define and own the enterprise data architecture vision, ensuring scalability, security, and performance of data platforms. &bull; Lead end-to-end architecture design for data integration, ingestion, transformation, storage, consumption, and analytics. &bull; Review, guide, and mentor engineering teams on technical implementations, design patterns, and coding standards. &bull; Evaluate new tools, technologies, and frameworks to drive modernization and innovation. 2. Data Design &amp; Data Modelling &bull; Develop logical, conceptual, and physical data models for transactional, operational, and analytical workloads. &bull; Architect data lakes, data warehouses, and lakehouse systems on AWS using industry best practices. &bull; Ensure data models support business, regulatory, and performance requirements. &bull; Own canonical models, reference data structures, and metadata definitions. 3. Data Analysis &amp; Data Management &bull; Conduct detailed data analysis, profiling, and discovery to support solution design and quality assurance. &bull; Oversee data lifecycle management, quality, availability, retention, and lineage across platforms. &bull; Establish and enforce data management best practices across the organization. 4. Data Governance &amp; Compliance &bull; Implement data governance frameworks including policies for data quality, security, privacy, and usage. &bull; Work with business and compliance teams to ensure adherence to EU regulatory guidelines (e.g., BCBS 239, GDPR, PCI). &bull; Define and implement data lineage, cataloging, and metadata management solutions. 5. Data Migration, Modernization &amp; Transformation &bull; Lead complex data migration initiatives from on-premise or legacy systems to cloud-based platforms (AWS). &bull; Architect and deliver modernization programs involving data lakehouse adoption, ETL to ELT transformation, and real-time data streaming. &bull; Drive automation, orchestration, and CI/CD practices for data pipelines. 6. Domain Expertise &ndash; Banking &amp; Financial Services &bull; Design and deliver data products related to customer 360, payments, lending, risk management, AML/KYC, credit scoring, and regulatory reporting. &bull; Work closely with SME and product owners to translate business requirements into data solutions. &bull; Ensure data models and architecture align with banking data standards and regulatory obligations. 7. AWS Cloud &amp; Modern Engineering &bull; Architect cloud-based solutions using: o AWS Glue, Glue Studio, DataBrew o AWS Lake Formation o Amazon S3, Redshift, Athena, EMR o AWS Marketplace data products o Amazon SageMaker / Unified Studio for ML workflows &bull; Build and optimize high-performance distributed data pipelines using Python, PySpark, and Kafka. &bull; Lead the implementation of secure, cost-effective, and resilient cloud architectures. Required Skills &amp; Qualifications Technical Skills &bull; 15+ years of experience in Data Architecture and Data Engineering, with at least 5 years in a senior/lead role. &bull; Deep hands-on experience with Data Design, Data Modelling (3NF, Dimensional, Data Vault), and Data Integration. &bull; Strong expertise with ETL/ELT frameworks, distributed data processing, and real-time data streaming. &bull; Advanced programming experience in Python and PySpark. &bull; Strong working knowledge of Apache Kafka, streaming pipelines, and event-driven architectures. &bull; Extensive hands-on experience with AWS data stack. &bull; Experience with data cataloging, lineage, quality, governance, and metadata platforms. Domain Skills &bull; Strong understanding of banking and financial services data, including operational and analytical use cases. &bull; Experience working with core banking systems, payments data, risk and compliance data, and regulatory reporting. Leadership Skills &bull; Proven experience leading cross-functional technical teams. &bull; Ability to drive architectural decisions and influence stakeholders at all levels. &bull; Strong communication, documentation, and stakeholder management skills. Preferred Qualifications &bull; AWS Certified Data Analytics &ndash; Specialty or AWS Solutions Architect certifications. &bull; Experience with machine learning data pipelines or MLOps. &bull; Familiarity with Data Mesh or domain-driven data product architectures. Additional Information: - The candidate should have minimum 18 years of experience in Data Architecture Principles. - This position is based at our Gurugram office. - A 15 years full time education is required.</p>
<br>
15 years full time education

McCain Foods

<div>
 <strong>
  Position Title:
 </strong>
 Data Architect
 <br/>
 <br/>
 <strong>
  Position Type:
 </strong>
 Regular - Full-Time
 <br/>
 <br/>
 <strong>
  Position Location:
 </strong>
 Gurgaon
 <br/>
 <br/>
 <strong>
  Requisition ID:
 </strong>
 38122
 <br/>
 <br/>
 We know the importance that food plays in people's lives &ndash; the power it has to bring people, families and communities together. Our purpose is to bring enjoyment to people&rsquo;s lives through great tasting food, in a way which reflects our values. McCain has recently committed to implementing regenerative agriculture practices across 100 percent of our potato acreage by 2030. Ask us more about our commitment to sustainability.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 McCain is embarking on a digital transformation. As part of this transformation, we are making significant investments into our data platforms, common data models. data structures and data policies to increase the quality of our data, the confidence of our business teams to use this data to make better decisions and drive value through the use of data.
 <br/>
 <br/>
 We have a new and ambitious global Digital &amp; Data group, which serves as a resource to the business teams in our regions and global functions. We are currently recruiting an experienced Data Architect to build enterprise data model McCain.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 Reporting to the Principal Data Architect, Data Architect will take a lead role in creating the enterprise data model for McCain Foods, bringing together data assets across agriculture, manufacturing, supply chain and commercial. This data model will be the foundation for our analytics program that seeks to bring together McCain&rsquo;s industry-leading operational data sets, with 3rd party data sets, to drive world-class analytics. Working with a diverse team of data governance experts, data integration architects, data engineers and our analytics team including data scientist, you will play a key role in creating a conceptual, logical and physical data model that underpins the Global Digital &amp; Data team&rsquo;s activities. .
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop an understanding of McCain&rsquo;s key data assets and work with data governance team to document key data sets in our enterprise data catalog
  </li>
  <li>
   Work with business stakeholders to build a conceptual business model by understanding the business end to end process, challenges, and future business plans.
  </li>
  <li>
   Collaborate with application architects to bring in the analytics point of view when designing end user applications.
  </li>
  <li>
   Develop Logical data model based on business model and align with business teams
  </li>
  <li>
   Work with technical teams to build physical data model, data lineage and keep all relevant documentations
  </li>
  <li>
   Develop a process to manage to all models and appropriate controls
  </li>
  <li>
   With a use-case driven approach, enhance and expand enterprise data model based on legacy on-premises analytics products, and new cloud data products including advanced analytics models
  </li>
  <li>
   Design key enterprise conformed dimensions and ensure understanding across data engineering teams (including third parties); keep data catalog and wiki tools current
  </li>
  <li>
   Primary point of contact for new Digital and IT programs, to ensure alignment to enterprise data model
  </li>
  <li>
   Be a clear player in shaping McCain&rsquo;s cloud migration strategy, enabling advanced analytics and world-leading Business Intelligence analytics
  </li>
  <li>
   Work in close collaboration with data engineers ensuring data modeling best practices are followed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Measures Of Success
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrated history of driving change in a large, global organization
  </li>
  <li>
   A true passion for well-structured and well-governed data; you know and can explain to others the real business risk of too many mapping tables
  </li>
  <li>
   You live for a well-designed and well-structured conformed dimension table
  </li>
  <li>
   Focus on use-case driven prioritization; you are comfortable pushing business teams for requirements that connect to business value and also able to challenge requirements that will not achieve the business&rsquo; goals
  </li>
  <li>
   Developing data models that are not just elegant, but truly optimized for analytics, both advanced analytics use cases and dashboarding / BI tools
  </li>
  <li>
   A coaching mindset wherever you go, including with the business, data engineers and other architects
  </li>
  <li>
   A infectious enthusiasm for learning: about our business, deepening your technical knowledge and meeting our teams
  </li>
  <li>
   Have a &ldquo;get things done&rdquo; attitude. Roll up the sleeves when necessary; work with and through others as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Qualification &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Design and Governance
  </li>
  <ul>
   <li>
    At least 5 years of experience with data modeling to support business process
   </li>
   <li>
    Ability to design complex data models to connect and internal and external data
   </li>
   <li>
    Nice to have: Ability profile the data for data quality requirements
   </li>
   <li>
    At least 8 years of experience with requirement analysis; experience working with business stakeholders on data design
   </li>
   <li>
    Experience on working with real-time data.
   </li>
   <li>
    Nice to have: experience with Data Catalog tools
   </li>
   <li>
    Ability to draft accurate documentation that supports the project management effort and coding
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Technical skills
  </li>
  <ul>
   <li>
    At least 5 years of experience designing and working in Data Warehouse solutions building data models; preference for having S4 hana knowledge.
   </li>
   <li>
    At least 2 years of experience in visualization tools preferably Power BI or similar tools.e
   </li>
   <li>
    At least 2 years designing and working in Cloud Data Warehouse solutions; preference for Azure Databricks, Azure Synapse or earlier Microsoft solutions
   </li>
   <li>
    Experience Visio, Power Designer, or similar data modeling tools
   </li>
   <li>
    Nice to have: Experience in data profiling tools informatica, Collibra or similar data quality tools
   </li>
   <li>
    Nice to have: Working experience on MDx
   </li>
   <li>
    Experience in working in Azure cloud environment or similar cloud environment
   </li>
   <li>
    Must have : Ability to develop queries in SQL for assessing , manipulating, and accessing data stored in relational databases , hands on experience in PySpark, Python
   </li>
   <li>
    Nice to have: Ability to understand and work with unstructured data
   </li>
   <li>
    Nice to have at least 1 successful enterprise-wide cloud migration being the data architect or data modeler. - mainly focused on building data models.
   </li>
   <li>
    Nice to have: Experience on working with Manufacturing /Digital Manufacturing.
   </li>
   <li>
    Nice to have: experience designing enterprise data models for analytics, specifically in a PowerBI environment
   </li>
   <li>
    Nice to have: experience with machine learning model design (Python preferred)
   </li>
  </ul>
  <li>
   Behaviors and Attitudes
  </li>
  <ul>
   <li>
    Comfortable working with ambiguity and defining a way forward.
   </li>
   <li>
    Experience challenging current ways of working
   </li>
   <li>
    A documented history of successfully driving projects to completion
   </li>
   <li>
    Excellent interpersonal skills
   </li>
   <li>
    Attention to the details.
   </li>
   <li>
    Good interpersonal and communication skills
   </li>
   <li>
    Comfortable leading others through change
    <br/>
   </li>
  </ul>
 </ul>
 <em>
  McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
  <br/>
  <br/>
 </em>
 <em>
  McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please
 </em>
 <em>
  let us know
 </em>
 <em>
  and we will work with you to find appropriate solutions.
  <br/>
  <br/>
 </em>
 <em>
  Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain&rsquo;s
 </em>
 <em>
  Global Privacy Policy
 </em>
 <em>
  and
 </em>
 <em>
  Global Employee Privacy Policy
 </em>
 <em>
  , as applicable. You can understand how your personal information is being handled
 </em>
 <em>
  here
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <strong>
  Job Family:
 </strong>
 Information Technology
 <br/>
 <br/>
 <strong>
  Division:
 </strong>
 Global Digital Technology
 <br/>
 <br/>
 <strong>
  Department:
 </strong>
 Data Architect
 <br/>
 <br/>
 <strong>
  Location(s):
 </strong>
 IN - India : Haryana : Gurgaon
 <br/>
 <br/>
 <strong>
  Company:
 </strong>
 McCain Foods(India) P Ltd
</div>


Kohler Co.

<div><div><div><h3 class="jobSectionHeader"><b>About Us</b></h3><p>
At Kohler, our mission is to help people live gracious, healthy, and sustainable lives. We believe that empowering our associates is essential to making this vision a reality. That&rsquo;s why we invest in personal and professional growth, encourage collaboration across teams and functions, and offer a comprehensive wellness package that supports the well-being of every team member.
</p><p>Kohler is an equal opportunity employer. Along with competitive compensation and benefits, we offer something more enduring&mdash;a legacy built on bold innovation, creative excellence, and a deep commitment to our people and communities. Learn more about our culture and career opportunities at www.kohler.co.in/careers.</p><p>
Our approach to hiring reflects our commitment to <b>Global Inclusion</b>. We recruit, hire, and promote qualified individuals in all roles without regard to race, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, or disability. If you are an individual with a disability and require reasonable accommodation during the recruitment process, please let your recruiter know so we can support you appropriately.
</p></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Data Architect</b></h2><div><h2 class="jobSectionHeader"><b>
</b></h2></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><b>
Job Description</b></div></div><div><div><h3 class="jobSectionHeader"><b>
Core Purpose</b></h3>
<p>To design and maintain enterprise-wide data architecture that enables secure, scalable, and high-performing data solutions. This role ensures that data assets are structured, integrated, and optimized to support advanced analytics, AI/ML initiatives, and business intelligence. The Data Architect acts as a strategic enabler&mdash;defining standards, modeling frameworks, and governance practices&mdash;while partnering with stakeholders to deliver architectures that drive innovation, compliance, and operational excellence.</p><div><br>
<p>
</p></div><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<p><b>Data Architecture</b></p>
<ul><li>Implement all aspects of data architecture, turning event analytics, raw application data, and business systems into key business insights.</li>
<li>Develop conceptual, logical, and physical data models that align with business requirements and ensure scalability.</li>
<li>Define and maintain data standards, naming conventions, and modeling best practices across systems.</li>
<li>Integrate data from multiple sources, including transactional systems, streaming platforms, and third-party APIs, into unified architectures.</li>
</ul><p><b>Collaboration and Knowledge Sharing</b></p>
<ul><li>Work closely with product managers, business analysts, engineering teams and experts in the business to translate business needs into technical solutions.</li>
<li>Develop and maintain comprehensive architecture diagrams, data dictionaries, and technical documentation.</li>
<li>Provide training and guidance to teams on data architecture principles and best practices.</li>
<li>Partner with AI accelerator teams to design innovative solutions leveraging AI/ML technologies and agent-based frameworks.</li>
</ul><p><b>Solution Security, Scalability and Reliability</b></p>
<ul><li>Work with Cybersecurity and Data Governance groups to design systems compliant with internal data standards, policies and security profiles, as well as privacy regulations such as GDPR and CCPA.</li>
<li>Monitor and optimize database performance, query efficiency and cost management in cloud environments.</li>
<li>Design architectures that support high availability, disaster recovery and future growth.</li></ul><br>
<div>
</div><p></p><h3 class="jobSectionHeader"><b>Skills &amp; Qualifications</b></h3>
<p><b>Education &amp; Experience</b></p>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science or related field</li>
<li>5-10 years of progressive experience in data-related roles</li>
<li>Proven experience in designing and implementing data architecture (data warehouses, data lakes, lakehouses)</li>
<li>3+ years experience designing and implementing ETL/ELT pipelines</li>
<li>2+ years working with cloud-based data platforms (Azure, Databricks or MS Fabric preferred). Certifications in cloud architecture platforms a plus</li>
</ul><p><b>Technical Fluency</b></p>
<ul><li>Proficiency in Python and SQL</li>
<li>Knowledge of data quality frameworks, metadata management and master data management.</li>
<li>Familiarity with prompt engineering and agent-based tools (Copilot Studio, Azure AI Foundry, or similar)</li>
<li>Knowledge of data visualization tools (Power BI, Tableau, or similar)</li>
</ul><p><b>Core Competencies</b></p>
<ul><li>Manages Complexity: Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. For example, asks questions to encourage others to think differently and enrich their analyses of complex situations. Accurately defines the key elements of complex, ambiguous situations.</li>
<li>Cultivates Innovation: Creates new and better ways for the organization to be successful. For example, approaches professional work in unique or innovative ways. Offers original ideas. Appreciates others' creative ideas and solutions and provides helpful input to enhance them.</li>
<li>Ensures Accountability: Holds self and others accountable to meet commitments. For example, tracks performance and strives to remain effective, learning from both successes and failures. Readily takes on challenges or difficult tasks and has reputation for delivering on commitments.</li>
<li>Tech Savvy: Anticipates and adopts innovations in business-building digital and technology applications. For example, ensures that the team has adequate resources to invest in technology advancements and the training to use them well. Deploys some new technologies to enhance effectiveness of the group and business.</li></ul><br>
<p>
</p></div></div></div></div></div><div><div><div><div><div><b>Experience</b></div></div><div><p>
8 to 12 years</p></div></div></div></div><div><div><div><div><div><b>
Mandatory Skills</b></div></div><div><p>
Data Architecture, Azure Data Architect</p></div></div></div></div><div><div><div><div><div><b>
Location</b></div></div><div><p>
Pune, Maharashtra, India</p></div></div></div></div></div></div></div></div></div><div></div>

Meril

<div>
 <p>
  <strong>
   Data Architect - Quantitative Trading
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Overview
  </strong>
 </p>
 <p>
  We are seeking an experienced Data Architect to design and manage mission-critical on-premise data infrastructure for our quantitative trading operations. This role sits at the intersection of high-performance systems design and financial data architecture, requiring deep expertise in building low-latency, scalable systems that support real-time algorithmic trading strategies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Infrastructure &amp; Architecture Design
  </strong>
 </p>
 <ul>
  <li>
   Design and architect on-premise data infrastructure optimized for real-time market data ingestion, processing, and analysis
  </li>
  <li>
   Develop comprehensive data models, schemas, and physical database designs supporting microsecond-level latency requirements
  </li>
  <li>
   Lead system design decisions for mission-critical components handling high-frequency trading data
  </li>
  <li>
   Create detailed architecture documentation and design specifications for trading data systems
  </li>
  <li>
   Establish data standards, best practices, and architectural patterns across engineering teams
  </li>
 </ul>
 <p>
  <strong>
   Performance &amp; Optimization
  </strong>
 </p>
 <ul>
  <li>
   Optimize database performance for real-time queries on massive tick data and market microstructure datasets
  </li>
  <li>
   Conduct performance tuning of SQL queries, indexing strategies, and data access patterns
  </li>
  <li>
   Manage storage optimization and implement efficient data compression techniques for on-premise systems
  </li>
  <li>
   Monitor system metrics and implement continuous performance improvements
  </li>
  <li>
   Design and implement caching strategies and buffer management for low-latency access
  </li>
 </ul>
 <p>
  <strong>
   Data Pipeline &amp; ETL Management
  </strong>
 </p>
 <ul>
  <li>
   Architect robust ETL/data pipeline solutions for real-time and batch data ingestion
  </li>
  <li>
   Design fault-tolerant systems for continuous market data feeds with guaranteed delivery
  </li>
  <li>
   Manage data quality, validation, and transformation at scale
  </li>
  <li>
   Oversee integration between trading systems, data warehouses, and analytics platforms
  </li>
  <li>
   Implement disaster recovery and business continuity strategies for on-premise infrastructure
  </li>
 </ul>
 <p>
  <strong>
   System Reliability &amp; Operations
  </strong>
 </p>
 <ul>
  <li>
   Ensure data security, integrity, and compliance with regulatory requirements
  </li>
  <li>
   Manage backup, recovery, and migration strategies
  </li>
  <li>
   Collaborate with trading teams to understand low-latency requirements and system constraints
  </li>
  <li>
   Participate in capacity planning and infrastructure provisioning decisions
  </li>
  <li>
   Lead troubleshooting of complex data-related issues in production trading systems
  </li>
 </ul>
 <p>
  <strong>
   GPU &amp; Accelerator Infrastructure Management
  </strong>
 </p>
 <ul>
  <li>
   Design and architect large-scale GPU/SPU cluster infrastructure for quantitative model training and inference
  </li>
  <li>
   Manage GPU resource allocation, scheduling, and optimization across multiple workloads
  </li>
  <li>
   Oversee GPU memory management and implement efficient data movement strategies between CPU and GPU
  </li>
  <li>
   Design distributed training pipelines leveraging GPU acceleration for machine learning models
  </li>
  <li>
   Implement monitoring, performance profiling, and optimization for GPU-intensive workloads
  </li>
  <li>
   Manage high-performance interconnects and network topology for GPU clusters
  </li>
  <li>
   Plan GPU capacity planning and procurement strategies aligned with trading model requirements
  </li>
  <li>
   Troubleshoot performance bottlenecks in GPU computing pipelines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Technical Skills
  </strong>
 </p>
 <p>
  <strong>
   Programming &amp; Systems Development
  </strong>
 </p>
 <ul>
  <li>
   Expert-level C++ proficiency for systems programming, data structure optimization, and performance-critical components
  </li>
  <li>
   Strong Python/Java skills for system design, prototyping, and ETL logic
  </li>
  <li>
   Deep understanding of operating systems, memory management, and process optimization
  </li>
  <li>
   Experience with multithreading, concurrency control, and synchronization primitives
  </li>
  <li>
   Ability to write efficient, maintainable code for high-performance systems
  </li>
 </ul>
 <p>
  <strong>
   Database &amp; Data Technologies
  </strong>
 </p>
 <ul>
  <li>
   Advanced expertise in relational database systems (SQL Server, Oracle, PostgreSQL)
  </li>
  <li>
   Proficiency in physical database design, indexing strategies, and query optimization
  </li>
  <li>
   Strong SQL knowledge including window functions, CTEs, and complex query patterns
  </li>
  <li>
   Experience with NoSQL databases for specific use cases (Redis, HBase, or similar)
  </li>
  <li>
   Familiarity with in-memory databases for low-latency requirements
  </li>
 </ul>
 <p>
  <strong>
   System Design &amp; Architecture
  </strong>
 </p>
 <ul>
  <li>
   Proven expertise in distributed systems design and implementation
  </li>
  <li>
   Strong understanding of system design principles: scalability, availability, consistency, partitioning
  </li>
  <li>
   Experience designing high-throughput, low-latency systems handling real-time data
  </li>
  <li>
   Knowledge of message queues and streaming technologies (Kafka, RabbitMQ, or equivalent)
  </li>
  <li>
   Familiarity with networking concepts and optimization (TCP/IP, socket programming)
  </li>
 </ul>
 <p>
  <strong>
   On-Premise Infrastructure
  </strong>
 </p>
 <ul>
  <li>
   Expert knowledge of Linux/Unix systems administration and optimization
  </li>
  <li>
   Experience with storage systems, RAID configurations, and SAN/NAS management
  </li>
  <li>
   Understanding of virtualization technologies and containerization where applicable
  </li>
  <li>
   Knowledge of backup, replication, and disaster recovery solutions for on-premise environments
  </li>
  <li>
   Experience with monitoring, logging, and observability tools in production systems
  </li>
 </ul>
 <p>
  <strong>
   GPU &amp; Specialized Processor Infrastructure
  </strong>
 </p>
 <ul>
  <li>
   Proven expertise designing and managing large-scale GPU clusters (NVIDIA, AMD) for data processing and machine learning
  </li>
  <li>
   Experience with GPU memory management, CUDA/GPU computing frameworks, and GPU workload optimization
  </li>
  <li>
   Knowledge of TPU (Tensor Processing Units) and SPU (Systolic Processing Units) architecture and deployment
  </li>
  <li>
   Proficiency in distributed GPU training and inference infrastructure
  </li>
  <li>
   Experience with GPU virtualization, scheduling, and resource allocation systems
  </li>
  <li>
   Understanding of high-bandwidth interconnects for GPU clusters (InfiniBand, NVLink)
  </li>
  <li>
   Familiarity with specialized accelerator management tools and frameworks
  </li>
 </ul>
 <p>
  <strong>
   Financial Markets &amp; Trading Systems
  </strong>
 </p>
 <ul>
  <li>
   Understanding of market data types (tick data, OHLC bars, order book microstructure)
  </li>
  <li>
   Familiarity with trading system architecture and data flow
  </li>
  <li>
   Knowledge of financial compliance and regulatory data retention requirements
  </li>
  <li>
   Experience with latency profiling and optimization for trading applications
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Experience
  </strong>
 </p>
 <ul>
  <li>
   5+ years of data architecture or systems engineering experience
  </li>
  <li>
   3+ years designing and building on-premise, high-performance data systems
  </li>
  <li>
   5+ years of professional C++ development experience
  </li>
  <li>
   3+ years of hands-on system design and architecture work
  </li>
  <li>
   3+ years managing large-scale GPU/SPU infrastructure and distributed GPU clusters
  </li>
  <li>
   Demonstrated track record building low-latency systems handling real-time data at scale
  </li>
  <li>
   Previous experience in quantitative trading, hedge funds, or high-frequency trading firms (preferred)
  </li>
  <li>
   Experience managing complex infrastructure projects from design through deployment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or related quantitative field
  </li>
  <li>
   Master's degree in Computer Science, Software Engineering, or related field (preferred)
  </li>
  <li>
   Advanced certifications in database technologies or systems architecture (preferred)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong communication ability to translate between technical teams and trading operations
  </li>
  <li>
   Collaborative mindset with experience working across engineering, research, and trading teams
  </li>
  <li>
   Problem-solving approach with attention to detail and system reliability
  </li>
  <li>
   Leadership capability to mentor junior engineers and establish technical best practices
  </li>
  <li>
   Ability to balance competing priorities: performance, reliability, scalability, and maintainability
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Work Environment
  </strong>
 </p>
 <p>
  This role involves working directly with quantitative researchers, traders, data engineers, and platform teams. You'll participate in design reviews, architecture discussions, and production troubleshooting. The position requires both strategic thinking for long-term infrastructure planning and hands-on technical work for implementation and optimization.
 </p>
</div>


<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Data &amp; AI Solution Architecture<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>12</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications while collaborating with various teams to achieve project goals. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and best practices among team members. - Evaluate and recommend tools and technologies to enhance data architecture. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data &amp; AI Solution Architecture. - Good To Have Skills: Experience with Solution Architecture. - Strong understanding of data modeling techniques and methodologies. - Experience with cloud-based data solutions and architectures. - Proficiency in data integration and ETL processes. - Familiarity with data governance and data quality frameworks. - Proven experience leading cloud, DevOps, or AI modernization initiatives. - Strong understanding of LLMs, automation, and engineering toolchains. - Ability to translate AI innovation into business and productivity impact. Additional Information: - The candidate should have minimum 12 years of experience in Data &amp; AI Solution Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Office<p></p><p><b>
Job Description</b></p><p></p><p>
As part of the Thermo Fisher Scientific team, you&rsquo;ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world&rsquo;s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.</p><h2 class="jobSectionHeader"><b>
Job Title:</b><b> Data Architect &ndash; Pharmaceutical CDMO</b></h2><p><b>
Location:</b> Hyderabad, India</p><p><b>
Department:</b> IT Center of Excellence</p><p><b>
Reports To:</b> Head of Data and Analytics</p><h2 class="jobSectionHeader"><b>
Position Overview</b></h2><p>
The <b>Data Architect</b> builds and leads enterprise data systems that strengthen research, manufacturing, and supply chain excellence. The role blends architecture, analytics, and compliance to transform data into usable intelligence.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Build and optimize data architectures supporting pharmaceutical R&amp;D and operations.</li><li>
Develop end-to-end data models, pipelines, and integrations across multiple platforms.</li><li>
Implement governance frameworks ensuring data quality, traceability, and GxP alignment.</li><li>
Partner with technical and business teams to drive data-driven outcomes.</li><li>
Implement and coordinate AWS, Microsoft Azure, Databricks, Snowflake, Power BI, and Tableau solutions.</li><li>
Introduce AI, analytics, and automation to streamline decision-making.</li><li>
Maintain documentation and mentor teams on secure, compliant data practices.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field.</li><li>
8 - 12 Years of experience in data architecture within pharma, biotech, or healthcare.</li><li>
Demonstrated proficiency in modern data tools such as AWS, Azure, Databricks, Snowflake, Power BI, and Tableau.</li><li>
Solid understanding of governance and compliance frameworks (GxP, GDPR, FAIR).</li><li>
Superb communication and analytical problem-solving skills.</li></ul><h2 class="jobSectionHeader"><b>
Preferred</b></h2><ul><li>
Experience in a CDMO or regulated manufacturing setting.</li><li>
Experience using Internet of Things (IoT), digital replicas, or artificial intelligence/machine learning (AI/ML) tools for resourceful manufacturing.</li></ul><h2 class="jobSectionHeader"><b>
Current Data Technology Platforms</b></h2><ul><li><b>
AWS, Azure:</b> Cloud infrastructure and scalable computing</li><li><b>
Databricks, Snowflake:</b> Analytics and data processing</li><li><b>
SAS, R, Posit:</b> Statistical and data science tools</li><li><b>
Power BI, Tableau:</b> Visualization and reporting</li><li><b>
IoT, Digital Twins:</b> Operational intelligence and optimization</li><li><b>
AI/ML Platforms:</b> Predictive and prescriptive analytics</li></ul><h2 class="jobSectionHeader"><b>
Why This Role Matters</b></h2><p>
Join a team using data to develop the future of pharmaceutical innovation! Work with global experts, explore emerging technologies, and see your architecture power real-world impact.</p><p>
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Observe as our team members detail 5 compelling reasons to join our organization. Together as a collective of over 100,000 colleagues, we uphold a shared belief in Integrity, Intensity, Innovation, and Involvement, collaborating to advance research, tackle intricate scientific problems, foster technological progress, and aid patients requiring assistance. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.</p><h2 class="jobSectionHeader"><b>
Apply today! http://jobs.thermofisher.com</b></h2><p>
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.</p><h2 class="jobSectionHeader"><b>
Accessibility/Disability Access</b></h2><p>
Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.</p><ul><li>This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.</li></ul></div><p></p>

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