1769 Data Architecture Jobs - Page 13

Job Description: Senior Data Analyst Location: Hyderabad, IN - Work from Office Experience: 7+ Years Role Summary We are seeking an experienced and highly skilled Senior Data Analyst to join our team. The ideal candidate will possess a deep proficiency in SQL, a strong understanding of data architecture, and a working knowledge of the Google Cloud platform (GCP)based ecosystem. They will be responsible for turning complex business questions into actionable insights, driving strategic decisions, and helping shape the future of our Product/Operations team. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to partner effectively with engineering, product, and business leaders. Key Responsibilities Advanced Data Analysis: Utilize advanced SQL skills to query, analyze, and manipulate large, complex datasets. Develop and maintain robust, scalable dashboards and reports to monitor key performance indicators (KPIs). Source Code management : Proven ability to effectively manage, version, and collaborate on code using codebase management systems like GitHub. Responsible for upholding data integrity, producing reproducible analyses, and fostering a collaborative database management environment through best practices in version control and code documentation. Strategic Insights: Partner with product managers and business stakeholders to define and answer critical business questions. Conduct deep-dive analyses to identify trends, opportunities, and root causes of performance changes. Data Architecture & Management: Work closely with data engineers to design, maintain, and optimize data schemas and pipelines. Provide guidance on data modeling best practices and ensure data integrity and quality. Reporting & Communication: Translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences. Present insights and recommendations to senior leadership to influence strategic decision-making. Project Leadership: Lead analytical projects from end to end, including defining project scope, methodology, and deliverables. Mentor junior analysts, fostering a culture of curiosity and data-driven problem-solving. Required Skills & Experience Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. 5+ years of professional experience in a data analysis or business intelligence role. Expert-level proficiency in SQL with a proven ability to write complex queries, perform window functions, and optimize queries for performance on massive datasets. Strong understanding of data architecture, including data warehousing, data modeling (e.g., star/snowflake schemas), and ETL/ELT principles. Excellent communication and interpersonal skills, with a track record of successfully influencing stakeholders. Experience with a business intelligence tool such as Tableau, Looker, or Power BI to create dashboards and visualizations. Experience with internal Google/Alphabet data tools and infrastructure, such as BigQuery, Dremel, or Google-internal data portals. Experience with statistical analysis, A/B testing, and experimental design. Familiarity with machine learning concepts and their application in a business context. A strong sense of curiosity and a passion for finding and communicating insights from data. Proficiency with scripting languages for data analysis (e.g., App scripting , Python or R ) would be an added advantage Responsibilities Lead a team of data scientists and analysts to deliver data-driven insights and solutions. Oversee the development and implementation of data models and algorithms to support new product development. Provide strategic direction for data science projects ensuring alignment with business goals. Collaborate with cross-functional teams to integrate data science solutions into business processes. Analyze complex datasets to identify trends and patterns that inform business decisions. Utilize generative AI techniques to develop innovative solutions for product development. Ensure adherence to ITIL V4 practices in all data science projects. Develop and maintain documentation for data science processes and methodologies. Mentor and guide team members to enhance their technical and analytical skills. Monitor project progress and adjust strategies to meet deadlines and objectives. Communicate findings and recommendations to stakeholders in a clear and concise manner. Drive continuous improvement in data science practices and methodologies. Foster a culture of innovation and collaboration within the data science team. Qualifications Possess strong experience in business analysis and data analysis. Demonstrate expertise in generative AI and its applications in product development. Have a solid understanding of ITIL V4 practices and their implementation. Exhibit excellent communication and collaboration skills. Show proficiency in managing and leading a team of data professionals. Display a commitment to working from the office during day shifts.

About the Role: We are seeking a highly skilled Data Solutions Architect - Business Intelligence & AI to lead the design and delivery of advanced data solutions. This role requires a seasoned professional with deep technical expertise, consulting experience, and leadership capabilities to drive data transformation initiatives. The ideal candidate will play a pivotal role in architecting scalable data platforms, enabling AI-driven automation, and mentoring a team of data engineers and analysts.

Piller Soft Technology is looking for Lead Data Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing data pipelines: Lead data engineers are responsible for designing and developing data pipelines that move data from various sources to storage and processing systems. Building and maintaining data infrastructure: Lead data engineers are responsible for building and maintaining data infrastructure, such as data warehouses, data lakes, and data marts. Ensuring data quality and integrity: Lead data engineers are responsible for ensuring data quality and integrity, by setting up data validation processes and implementing data quality checks. Managing data storage and retrieval: Lead data engineers are responsible for managing data storage and retrieval, by designing and implementing data storage systems, such as NoSQL databases or Hadoop clusters. Developing and maintaining data models: Lead data engineers are responsible for developing and maintaining data models, such as data dictionaries and entity-relationship diagrams, to ensure consistency in data architecture. Managing data security and privacy: Lead data engineers are responsible for managing data security and privacy, by implementing security measures, such as access controls and encryption, to protect sensitive data. Leading and managing a team: Lead data engineers may be responsible for leading and managing a team of data engineers, providing guidance and support for their work.

Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference. Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments. Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems. Automate ML workflows using ML Ops tools and frameworks (e.g., Kubeflow, MLflow, TensorFlow Extended (TFX)). Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting. Collaborate with cross-functional teams to improve data architectures and facilitate the continuous integration and deployment of ML models. Work on data storage solutions, including databases, data lakes, and cloud-based storage systems (e.g., AWS, GCP, Azure). Ensure data security, integrity, and compliance with data governance policies. Perform troubleshooting and root cause analysis on production-level machine learning systems. Skills: Glue, Pyspark, AWS Services, Strong in SQL; Nice to have : Redshift, Knowledge of SAS Dataset Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker ETL - ETL - AWS Glue DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Database - Sql Server - SQL Packages

Experience in developing and managing dashboards and reports in Tableau In-depth knowledge and a sound understanding of RDBMS systems, SQL, Business Intelligence, and data analytics. Excellent analytical skills to forecast and predict trends and insights using past and current data Knowledge of data architecture, data modelling, data mapping, data analysis, and data visualization Able to build visually-stunning and interactive dashboards in Tableau. Good to have knowledge of Power BI Mandatory Competencies Beh - Communication and collaboration BI and Reporting Tools - BI and Reporting Tools - Power BI BI and Reporting Tools - BI and Reporting Tools - Tableau Database - Database Programming - SQL QA/QE - QA Analytics - Data Analysis

Job Title : Data Architect Location : Hyderabad/ Bangalore/Remote Experience Level: 10-15 years preferred Industry: IT/Software Services/SaaS Company Profile/Website: Pragma Edge | Powering Your Connected Enterprise Bangalore Office Location: 1st floor, IndiQube Platina, 15 Commissariat Road, Ashok Nagar, Bengaluru, Karnataka- 560025 Hyderabad Office Location: Pragma Towers, Plot No.07,Image Gardens Road, Silicon Valley, Madhapur, Hyderabad, TG-500081 Employment Type : Full-time Key Responsibilities Design and implement scalable, secure, and high-performance data architecture solutions tailored for logistics operations. Define data standards, models, and governance policies across heterogeneous data sources (e.g., EDI, ERP, TMS, WMS). Architect and optimize data pipelines to enable real-time analytics and reporting for warehouse management, freight, and inventory systems. Collaborate with business stakeholders to translate operational logistics needs into actionable data strategies. Ensure system reliability, data security, and compliance with relevant regulations. Evaluate and recommend tools and platforms including cloud-based data services (Azure, AWS, GCP). Lead data integration efforts including legacy systems migration and EDI transformations. Required Skills & Qualifications Proven experience as a Data Architect in logistics, transportation, or supply chain domains. Strong understanding of EDI formats, warehouse operations, fleet data, and logistics KPIs. Hands-on experience with data modeling, ETL, ELT, and data warehousing. Expertise in cloud platforms (Azure preferred), relational and NoSQL databases, and BI tools. Knowledge of data governance, security, and data lifecycle management. Familiarity with tools like Informatica, Talend, SQL Server, Snowflake, or BigQuery is a plus. Excellent analytical thinking and stakeholder communication skills.

Experience: 8+ years of experience in data architecture and data engineering roles. Proven experience leading large-scale data migration projects, preferably to cloud environments (Alibaba Cloud, AWS, Azure, or GCP). 3+ years of hands-on experience with Alibaba Clouds DataWorks platform or similar data management tools. Strong background in data modeling, ETL design, and data integration across various platforms. Technical Skills: Deep understanding of cloud architecture, particularly in Alibaba Cloud’s ecosystem (MaxCompute, DataWorks, OSS, etc.). Proficiency in SQL, Python, Java, or Scala for data engineering tasks. Familiarity with data processing engines such as Apache Spark, Flink, or other big data tools. Experience with data governance tools and practices, including data cataloging, data lineage, and metadata management. Strong understanding of data integration and movement between different storage systems (databases, data lakes, data warehouses). Strong understanding of API integration for data ingestion, including RESTful services and streaming data. Experience in data migration strategies, tools, and frameworks for moving data from legacy systems (on-premises) to cloud-based solutions. Communication & Leadership: Excellent communication skills to collaborate with both technical teams and business stakeholders. Proven ability to lead, mentor, and guide technical teams during complex projects.

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

Experience: 6+ years of experience in project management, with a focus on data engineering, analytics, or machine learning projects. 2+ years of hands-on experience with Data works and familiarity with its core components (Maxcompute,Operation and Maintenance Center,Data/DataService Studio Etc) Strong understanding of Apache Spark, cloud environments (AWS, Azure, or GCP), and data pipeline architectures. Technical Skills: Proficiency in DataWorks, Spark, and Python or Scala. Experience in managing cloud-based data solutions (Azure/AWS/GCP). Familiarity with ETL processes, data warehousing, and big data tools. Project Management Skills: Proven experience managing large-scale projects using Agile or Scrum methodologies. Strong budgeting, resource management, and timeline management skills. Excellent communication skills and ability to engage with both technical teams and business stakeholders.

Role & responsibilities bachelor's or Masters degree in Information Systems, Computer Science, Business, or a related field. 6+ years of experience in business systems architecture, enterprise applications management, or IT consulting. Technical Expertise: Deep understanding of ERP, CRM, CLM, HRIS, and financial systems (e.g., Salesforce, NetSuite, Oracle, Bob, Ironclad). Strong hands-on experience with data architecture and analytics platforms, including: - Google BigQuery (data modeling, table design) - dbt for data transformation - Fivetran or similar ETL/ELT tools for ingestion - Tableau (or equivalent BI tools) for building interactive dashboards and reports Experience with API integration, Workato, and automation tools. Proficiency in cloud platforms (AWS, Azure, or GCP) and SaaS solutions. Business Acumen & Leadership: Strong analytical skills and ability to translate business needs into technical solutions. Proven ability to lead cross-functional teams and drive digital transformation initiatives. Communication & Problem-Solving: The business system architect interviews are moving along slowly and candidates are not meeting some of the Technical expertise requirements especially around having deep understanding of CRMs, ERPs, CLMs, iPaaS and overall internal systems (it seems typically limited to one system - eg. ERP). Same for overall enterprise application management experience, most dont have system mgt experience but rather system implementation (which is ok, but still seems limited for the most part to a single system).

Role : AWS, Snowflake with Data Architect What awaits you/ Job Profile Design and develop scalable data pipelines using AWS services. Integrate diverse data sources and ensure data consistency and reliability. Collaborate with data scientists and other stakeholders to understand data requirements. Implement data security measures and maintain data integrity. Monitor and troubleshoot data pipelines to ensure optimal performance. Optimize and maintain data warehouse and data lake architectures. Create and maintain comprehensive documentation for data engineering processes. What should you bring along Proven experience with Snowflake and SQL. Expert-level proficiency in building and managing data pipelines with Python. Strong experience in AWS cloud services, including Lambda, S3, Glue, and other data-focused services. Exposure Terraform for provisioning and managing infrastructure-as-code on AWS. Proficiency in SQL for querying and modeling large-scale datasets. Hands-on experience with Git for version control and managing collaborative workflows. Familiarity with ETL/ELT processes and tools for data transformation. Strong understanding of data architecture, data modeling, and data lifecycle management. Excellent problem-solving and debugging skills. Strong communication and collaboration skills to work effectively in a global, distributed team environment. Must have technical skill Good understanding of Architecting the data and solution. Data Quality, Governance, Data Security and Data Modelling concepts. Data Modelling, Mapping and Compliance to BaDM. Solutioning on Cloud (AWS) with cloud tools, with good Understanding Snowflake. Defining CI/CD config for GitHub and AWS Terraform for deployment config. Ensuring Architecture evolution with latest technology. Guiding and mentoring team, reviewing code and ensuring development to standards. Good to have Technical skills Strong understanding of ETL Concepts, design patterns, industry best practices. Experience with ETL testing Snowflake Certification. AWS Certification.

NTT DATA is looking for a Data Engineering Senior Director to join the team in Hyderabad, Telangana (IN-TG), India (IN). As a Data & AI Architect, you will be responsible for delivering multi-technology consulting services to clients by providing strategies and solutions for infrastructure and related technology components. Your role will involve collaborating with stakeholders to develop architectural approaches for solutions and working on strategic projects to ensure optimal functioning of clients" technology infrastructure. Key Responsibilities: - Engage in conversations with CEO, Business owners, and CTO/CDO - Analyze complex business challenges, develop effective solutions, and prioritize client needs - Design innovative solutions for complex business problems - Utilize best practices and creativity to address challenges - Conduct market research, formulate perspectives, and communicate insights to clients - Build strong client relationships and ensure client satisfaction - Focus on details with a strategic business perspective - Demonstrate excellent client service orientation - Work effectively in high-pressure situations - Establish and manage processes through collaboration and business understanding - Generate new business opportunities and contribute to internal effectiveness through process improvement - Provide insights on relevant vertical markets and enhance current methodologies, processes, and tools Minimum Skills Required: - Academic Qualifications: BE/BTech or equivalent in Information Technology and/or Business Management - Scaled Agile certification desirable - Relevant consulting and technical certifications preferred, e.g., TOGAF Required Experience: - 12-15 years of experience in a similar role in a large-scale technology services environment - Proficiency in Data, AI, Gen AI, and Agentic AI - Experience in Data Architecture and Solutioning, including E2E Data Architecture and GenAI Solution design - Ability to work on Data & AI RFP responses as a Solution Architect - Strong experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect - Proficiency with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools - Experience in consulting and program execution engagements in AI and data - Expertise in multi-technology infrastructure design, client needs assessment, and change management Additional Career Level Description: - Knowledge and application: Seasoned, experienced professional with complete knowledge in the area of specialization - Problem-solving: Works on diverse problems requiring evaluation and creative solutions - Interaction: Enhances relationships with internal/external partners, often requiring persuasion NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. We are committed to helping clients innovate, optimize, and transform for long-term success. With diverse experts in over 50 countries and a robust partner ecosystem, we offer business and technology consulting, data and artificial intelligence solutions, industry-specific services, and digital infrastructure. Join us to be part of a leading provider of digital and AI infrastructure, shaping the future confidently and sustainably. Visit us at us.nttdata.com.,

Join the Consumer & Community Banking division at Chase, a leading U.S. financial services firm as a skilled data professional in our Data & Analytics team. As an Analytical Solutions Manager within the Consumer and Community Banking (CCB) Finance Data & Insights Team, you will be a part of an agile product team responsible for the development, production, and transformation of financial data and reporting across the Consumer and Community Banking division. Your ability and passion to think beyond raw and disparate data will enable you to create data visualizations and intelligence solutions that will be utilized by the organization's top leaders to achieve key strategic imperatives. You will assist in identifying and assessing opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to implement automated solutions. You will be responsible for extracting, analyzing, and summarizing data for ad hoc stakeholder requests and play a significant role in transforming our data environment to a modernized cloud platform. Transform raw data into actionable insights, demonstrating a history of learning and implementing new technologies. Lead the Finance Data & Insights Team, an agile product team, taking responsibility for the development, production, and transformation of financial data and reporting across CCB. Improve the lives of our people and increase value to the firm by leveraging the power of data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. Join an agile product team as an Analytical Solutions Manager on the CCB Finance Data & Insights Team, responsible for the development, production, and transformation of financial data and reporting across CCB. Lead conversations with business teams and create data visualizations and intelligence solutions utilized by the organization's top leaders to reach key strategic imperatives. Identify and assess opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to bring automated solutions to life. Extract, analyze, and summarize data for ad hoc stakeholder requests, playing a role in transforming the data environment to a modernized cloud platform. Minimum 8 years of experience in SQL is a MUST. Minimum 8 years of experience developing data visualization and presentations. Experience with data wrangling tools such as Alteryx. Experience with relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses. Knowledge of modern MPP databases and big-data (Hadoop) concepts. Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data. Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions. Data architecture experience is needed. Preferred qualifications, capabilities and skills include experience with LLM, Hive, Spark SQL, Impala, or other big-data query tool, Home Lending business understanding as a major advantage, and experience with AWS, Databricks, Snowflake, or other Cloud Data Warehouse, Thought Spot experience.,

As a Solution Architect in the insurance vertical, you will be responsible for engaging with clients to understand their requirements and advising on appropriate solution architectures. Your role will involve architecting and designing scalable solutions for PAS insurance systems, leading data strategy and API architecture, and ensuring seamless integrations. You will utilize TOGAF or Zachman frameworks to define enterprise architecture and collaborate with cross-functional teams to align technical solutions with business objectives. Your expertise in Java/React-based system development will be crucial in providing guidance on best practices. You will ensure compliance with industry standards and regulatory requirements, collaborate with Product Managers to align client needs with solution design, and work closely with Delivery Managers during solution deployment. Your creativity and critical thinking will be key in exploring possibilities and identifying effective solutions. With at least 6 years of experience in solution architecture design and delivery roles in the insurance vertical, you will have extensive knowledge of PAS insurance systems, data architecture, and API design. Proficiency in TOGAF or Zachman frameworks, along with a solid technical background in Java/React and enterprise application development, will be essential. Your ability to understand business architecture models & patterns, design innovative solutions, and ensure high availability and scalability in cloud-based applications will set you up for success in this role. Strong communication skills, both written and verbal, are required for effectively discussing solution strategies and enterprise roadmaps with stakeholders at all levels. Your analytical skills, ability to collect business requirements, build value propositions, and engage corporate clients will be critical. Certification in architecture disciplines and cloud environments will be advantageous, along with a high proficiency in English as your primary language. Overall, as a Solution Architect, you will play a vital role in designing tailored solutions, ensuring client expectations are met, and continuously improving solutions based on industry trends and emerging technologies. Your experience in delivering cloud-based technology product solutions, understanding of business constraints, and capability to self-learn new technology trends will be key assets in this position.,

Blenheim Chalcot is a prominent venture builder with a track record of over 20 years in creating disruptive businesses across various sectors such as FinTech, EdTech, GovTech, Media, Sport, Charity, and more. The ventures developed by Blenheim Chalcot are all GenAI enabled, positioning them as some of the most innovative companies in the UK and globally. The team at Blenheim Chalcot India plays a vital role in the growth and success of the organization. Since its establishment in 2009, Blenheim Chalcot India has been a launchpad for individuals looking to drive innovation and entrepreneurship. Driven by a mission to empower visionaries, Blenheim Chalcot India focuses on enabling individuals to lead, innovate, and create disruptive solutions. The organization offers a wide range of services to support new businesses, including technology, growth (marketing and sales), talent, HR, finance, legal, and tax services. Fospha, a MarTech venture under Blenheim Chalcot, is experiencing rapid growth and is seeking energetic and motivated individuals to join their team. Fospha is a marketing measurement platform catering to eCommerce brands, having achieved product/market fit and garnered recognition as a market leader with significant growth and accolades. **Key Responsibilities:** - Lead and mentor a team of data engineers, fostering a collaborative culture focused on continuous improvement. - Plan and execute data projects in alignment with business objectives and timelines. - Provide technical guidance to the team, emphasizing best practices in data engineering. - Implement and maintain ELT processes using scalable data pipelines and architecture. - Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. - Ensure data integrity and quality across diverse data sources. - Support data-driven decision-making by delivering clean, reliable, and timely data. - Define high-quality data standards for Data Science and Analytics use-cases and contribute to shaping the data roadmap. - Design, develop, and maintain data models for ML Engineers, Data Analysts, and Data Scientists. - Conduct exploratory data analysis to identify patterns and trends. - Identify opportunities for process enhancement and drive continuous improvement in data operations. - Stay informed about industry trends, technologies, and best practices in data engineering. **About You:** The ideal candidate will have a proven track record of delivering results in a fast-paced environment, demonstrating comfort with change and uncertainty. **Required:** - Prior experience in leading a team with final tech sign-off responsibilities. - Proficiency in PostgreSQL, SQL technologies, and Python programming. - Understanding of data architecture, pipelines, ELT flows, and agile methodologies. **Preferred:** - Experience with dbt (Data Build Tool) and pipeline technologies within AWS. - Knowledge of data modeling, statistics, and related tools. **Education Qualifications:** Bachelor's or Master's degree in Computer Science, Engineering, or a related field. **What We Offer:** - Opportunity to be part of the World's Leading Digital Venture Builder. - Exposure to diverse talent within BC and opportunities for continuous learning. - Work 4 days a week from office. - Engagement with challenges in a culture that supports learning and development. - Fun and open atmosphere, enriched with a passion for cricket. - Generous annual leave, maternity and paternity leaves, and private medical benefits. At Blenheim Chalcot, we champion diversity, meritocracy, and a culture of inclusion where individual capabilities and potential are highly valued. Our commitment to recruiting, developing, and advancing individuals based on their skills and talent underscores our belief in the diversity, agility, generosity, and curiosity of our people as the driving force behind our organization's success.,

We are seeking a highly motivated and experienced IT Enterprise Architect with a strong focus on end-to-end customer service processes. In this role, you will be instrumental in shaping and aligning our IT landscape, particularly across platforms like SAP, ServiceNow, and other customer service-related systems. Your expertise will be pivotal in driving the digital transformation of our global service processes to ensure scalability, resilience, and exceptional customer experience. As an IT Enterprise Architect, your responsibilities will include managing enterprise architecture, aligning business goals with IT strategy, designing and maintaining end-to-end Enterprise Architecture for customer service processes, leading cross-functional workshops, guiding platform selection and integration, modeling IT architectures and processes, contributing to solution evaluations and vendor selection, coordinating communication with key decision-makers, and driving documentation and presentations for executive alignment. To qualify for this role, you should have a degree in computer science, industrial engineering, or a related field, along with previous experience as an Enterprise Architect or Solution-/Domain Architect in Customer facing IT landscapes. You should be well-versed in enterprise architecture methods and frameworks, governance structures, IT Service Management Frameworks, and have practical experience in implementing customer service solutions. Additionally, you should possess extensive experience with data architecture, integration concepts, cloud technologies, and enterprise architecture tools. In addition to technical expertise, we require strong English language skills, both spoken and written, for collaboration with specialist departments globally. Proficiency in German is also preferred. Ideal candidates will demonstrate strong organizational skills, excellent communication and presentation abilities, teamwork capabilities, results and quality-oriented work ethic, analytical and conceptual skills, flexibility, quick understanding, and constructive assertiveness.,

You are a highly motivated Solution Configuration Consultant with 4-7 years of experience in the Supply Chain Technology / Enterprise Software industry. Your primary role will involve implementing the o9 supply chain planning platform for global clients. You will collaborate with stakeholders to gather requirements, design solutions, configure tools, and ensure the successful delivery of supply chain capabilities. Your key responsibilities include understanding business needs, defining supply chain processes, collecting and analyzing operational data, applying o9 platform data models, translating business logic into specifications, configuring the o9 platform, creating and executing test cases, engaging with stakeholders, planning and delivering training, and mentoring junior analysts. In terms of technical experience, you must have strong expertise in at least one supply chain domain, end-to-end experience with supply chain solution implementations, the ability to convert business logic into technical configurations within the o9 platform, troubleshooting and performance tuning skills, experience with scripting languages like IBPL, SQL, and JSON, familiarity with planning systems and ERP platforms, and a solid foundation in data modeling and data architecture. Your professional attributes should include the ability to communicate technical concepts to non-technical stakeholders, work effectively in distributed teams across time zones, and possess excellent communication and interpersonal skills to manage client expectations. As for educational qualifications, you should hold a B.Tech / B.E. / MCA degree with a preference for a Supply Chain certification.,

You are a seasoned Confluent & Oracle EBS Cloud Engineer with over 10 years of experience, responsible for leading the design and implementation of scalable, cloud-native data solutions. Your role involves modernizing enterprise data infrastructure, driving real-time data streaming initiatives, and migrating legacy ERP systems to AWS-based platforms. Your key responsibilities include architecting and implementing cloud-based data platforms using AWS services such as Redshift, Glue, DMS, and Data Lake solutions. You will lead the migration of Oracle E-Business Suite or similar ERP systems to AWS while ensuring data integrity and performance. Additionally, you will design and drive the implementation of Confluent Kafka for real-time data streaming across enterprise systems. It is essential for you to define and enforce data architecture standards, governance policies, and best practices. Collaborating with engineering, data, and business teams to align architecture with strategic goals is also a crucial aspect of your role. Furthermore, you will optimize data pipelines and storage for scalability, reliability, and cost-efficiency. To excel in this role, you must possess 10+ years of experience in data architecture, cloud engineering, or enterprise systems design. Deep expertise in AWS services, including Redshift, Glue, DMS, and Data Lake architectures, is required. Proven experience with Confluent Kafka for real-time data streaming and event-driven architectures is essential. Hands-on experience in migrating large-scale ERP systems (e.g., Oracle EBS) to cloud platforms is a must. Strong understanding of data governance, security, and compliance in cloud environments, as well as proficiency in designing scalable, fault-tolerant data systems, are also necessary. Preferred qualifications include experience with data modeling, metadata management, and lineage tracking, familiarity with infrastructure-as-code and CI/CD practices, and strong communication and leadership skills to guide cross-functional teams.,

Are you ready to make an impact at Mondelz International Join our mission to lead the future of snacking and make it possible. You will have the opportunity to support the data strategy and lead the development of custom models and algorithms, contributing significantly to our business performance. Partnering closely with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility. In this role, you will support stakeholders across the portfolio by implementing agile ROI/KPI initiatives that drive improvements. You will also identify and collaborate with external partners to deliver on projects, develop custom models and algorithms to uncover signals, patterns, and trends for long-term business performance. Additionally, you will play a key role in shaping the data strategy in your area of responsibility, covering data collection architecture, data governance, and data reporting infrastructure. Building and leading a professional and reliable team will be part of your responsibilities, as well as running the business analytics program practice methodically to communicate the value of business analytics to stakeholders. To excel in this position, you should have a strong desire to drive your future and accelerate your career. Your experience and knowledge should include the ability to influence the business agenda, leadership in analytics practice roles, deploying new analytical approaches in complex organizations, and using analytics techniques effectively to create business impacts. People leadership experience is also essential. As the D&A Analytics lead for India, you will craft the Data & Analytics strategic vision and roadmap, driving momentum within the organization and delivering strong business value at the right cost structure. You will collaborate with regional and global teams, fostering adoption plans and continuous improvement initiatives. Your role will involve presenting insights at key leadership forums and building capabilities within the teams to embed analytics in business processes effectively. In addition to leading analytics delivery and BI development for India, you will coach and build an agile, inspired team with a growth mindset. Managing funds, securing funding for analytics agendas, and tracking spends judiciously will be part of your responsibilities. You should also possess strong data and analytics skills, technology proficiency, and essential soft skills such as leadership, communication, facilitation, creativity, teamwork, collaboration, storytelling, and influencing. If you have a good understanding of analytics concepts, methods, and techniques, along with technology skills in programming languages, data integration tools, and analytics platforms, and possess domain skills related to business process transformation and data governance, you are encouraged to apply for this role. Agility, growth mindset, project management capabilities, and decision-making skills are also crucial for success in this position. Mondelz International offers within-country relocation support and minimal assistance for candidates moving internationally as part of the Volunteer International Transfer Policy. Join us in empowering people to snack right and delivering high-quality, sustainable snacks that nourish life's moments. Become a part of our diverse community and contribute to our purpose and values.,

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. Were already trusted by millions in the US and were quickly catching up in the UK but how we do things here is a little different. Were building the bank of the future from scratch, channeling our start-up mentality every step of the way meaning youll have the opportunity to make a real impact. As a Data Architect III at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to design, build and optimize data models, write SQL (especially leveraging DBT) with associated data quality tests to ensure accuracy, as well as consult with business analysts to ensure their data models are optimal and well-designed. You are expected to be involved in the architecture and optimization of data solutions, with a strong focus on data warehousing, while also working in a collaborative fashion with team mates. Our Business Analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. Were looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy, and have a head for fintech. We work in tribes and squads that focus on specific products and projects and depending on your strengths and interests, youll have the opportunity to move between them. While we re looking for professional skills, culture is just as important to us. We understand that everyones unique and that diversity of thought, experience, and background is what makes a good team great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, theres scope for you to make a huge difference on us as a company, and on our clients and business partners around the world. Job responsibilities Designing and optimizing data models to support business needs. Writing advanced SQL queries, with a strong focus on DBT, leveraging incremental materialisation and macros. Consulting with business analysts to ensure data models are optimal and well-designed. Collaborating with stakeholders to understand data requirements and provide solutions. Identifying opportunities to improve data architecture and processes, with a focus on data warehousing. Presenting data architecture solutions in a clear, logical, and persuasive manner. Required qualifications, capabilities and skills Formal training or certification on SQL concepts and 3+ years applied experience Strong SQL skills, especially in DBT. Experience in designing and optimizing data models and data warehousing solutions. Ability to consult and collaborate with business analysts and stakeholders. Demonstrated ability to think beyond raw data and understand the underlying business context. Ability to work in a dynamic, agile environment within a geographically distributed team. Strong problem-solving capabilities, ability to think creatively and impeccable business judgment. Excellent written and verbal communication skills in English. Preferred qualifications, capabilities and skills Experience with data architecture in a fintech environment. Experience in cloud solutions, ideally AWS Basic data engineering expertise Familiarity with data mesh Familiarity analytics and dashboarding We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. Were already trusted by millions in the US and were quickly catching up in the UK but how we do things here is a little different. Were building the bank of the future from scratch, channeling our start-up mentality every step of the way meaning youll have the opportunity to make a real impact. As a Data Architect III at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to design, build and optimize data models, write SQL (especially leveraging DBT) with associated data quality tests to ensure accuracy, as well as consult with business analysts to ensure their data models are optimal and well-designed. You are expected to be involved in the architecture and optimization of data solutions, with a strong focus on data warehousing, while also working in a collaborative fashion with team mates. Our Business Analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. Were looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy, and have a head for fintech. We work in tribes and squads that focus on specific products and projects and depending on your strengths and interests, youll have the opportunity to move between them. While we re looking for professional skills, culture is just as important to us. We understand that everyones unique and that diversity of thought, experience, and background is what makes a good team great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, theres scope for you to make a huge difference on us as a company, and on our clients and business partners around the world. Job responsibilities Designing and optimizing data models to support business needs. Writing advanced SQL queries, with a strong focus on DBT, leveraging incremental materialisation and macros. Consulting with business analysts to ensure data models are optimal and well-designed. Collaborating with stakeholders to understand data requirements and provide solutions. Identifying opportunities to improve data architecture and processes, with a focus on data warehousing. Presenting data architecture solutions in a clear, logical, and persuasive manner. Required qualifications, capabilities and skills Formal training or certification on SQL concepts and 3+ years applied experience Strong SQL skills, especially in DBT. Experience in designing and optimizing data models and data warehousing solutions. Ability to consult and collaborate with business analysts and stakeholders. Demonstrated ability to think beyond raw data and understand the underlying business context. Ability to work in a dynamic, agile environment within a geographically distributed team. Strong problem-solving capabilities, ability to think creatively and impeccable business judgment. Excellent written and verbal communication skills in English. Preferred qualifications, capabilities and skills Experience with data architecture in a fintech environment. Experience in cloud solutions, ideally AWS Basic data engineering expertise Familiarity with data mesh Familiarity analytics and dashboarding

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Responsibilities Hands on Experience with Power BI Dashboard Development and willing to work as an individual contributor. Clear Understanding of Data Warehousing Concepts. Should Work with a data engineering team closely to perform data extraction and data transformation processes to create the datasets. Good Experience in different Categories of DAX functions like Time Intelligence Function, Filter Functions, Date Functions, Logical Functions, Text Functions, Number and Statistical Functions. Good experience with Visual level, Page level, Report level and Drill Through filters for filtering the data in a Report. Experience in Row Level Security (RLS) implementation in Power BI. Should work with OnPremises Data Gateway to Refresh and Schedule Refresh of the Dataset. Strong data transformation skills through Power Query Editor with familiarity in M language. Data Modelling knowledge with Joins on multiple tables and creating new bridge tables. Knowledge on PBI desktop features like Bookmarks, Selections, Sync Slicers & Edit interactions. Knowledge of PBI Service features like creating import, scheduling extract refresh, managing subscriptions etc. Publishing and maintenance of Apps in Power BI. Also, knowledge on configuring Row Level Security and Dashboard level Security in Power BI Service. Experience in creating and publishing reports on both web and mobile layout. Able to Perform Unit Testing like functionality testing and Data Validation. Report Performance Optimization and Troubleshooting. Clear Understanding of UI and UX designing. Hands on Working Experience in SQL to write the queries. Very good communication skills must be able to discuss the requirements effectively with business owners. Mandatory skill sets Power BI, DAX Preferred skill sets Power BI, DAX Years of experience required 38 Years Education Qualification BE, B.Tech, MCA, M.Tech Education Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Power BI Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC & Summary Responsibilities Experience range 4 10 years Preferred Location Mumbai, Bangalore, Hyderabad, Kolkata Experience in at least 2 end to end SAP MDG implementation in one or more of the following objects BP Supplier & Customer, Material, Finance objects. Strong experience in designing and implementing data models within SAP Datasphere, including using the Data Builder and Business Builder Familiarity with different types of joins, calculation views, and data modeling techniques Good SQL Knowledge SAP Data Model & Table Structures for leading modules like FICO, MM, BP, SD, PM, QM etc Experience working with SAP systems like S/4HANA, including extractors, CDS views, and HANA cockpit. Proficiency in developing data flows, handling delta loads, and ensuring data is transformed and loaded correctly. Performance Tuning models and data flows within Datasphere for optimal performance. Experience in configuring and managing Task Chains to orchestrate data flows and processes within SAP Datasphere. Ability to design retry logic, failure notifications, and dependencies between tasks. Display strong analytical and problemsolving skills to address issues and improve performance. SAP BW prior experience and able to perform impact assessment of moving from SAP BW to Datasphere along with ECC to S/4 migration or prior to that SAC & Fiori Knowledge of implementing security protocols and managing user access to sensitive data. Good attitude and communication. Should be able to perform solutioning based on business requirements provided by the client and perform estimates for client proposals. Should be able to perform client facing roles. Should be able to collaborate with internal /external and third party stakeholders. Mandatory skill sets SAP Datasphere Preferred skill sets SAP Datasphere Years of experience required 48 Education qualification Btech/MBA/MCA Education Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills SAP Datasphere Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Travel Requirements Government Clearance Required?

You will be joining a renowned consulting firm known for being consistently ranked as one of the world's best places to work. The company has maintained a top position on Glassdoor's Best Places to Work list since 2009, emphasizing the importance of extraordinary teams in their business strategy. By intentionally bringing together diverse backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment, they ensure that every individual can thrive both professionally and personally. As part of the Application Engineering experts team within the AI, Insights & Solutions division, you will collaborate with a multidisciplinary group of professionals including analytics, engineering, product management, and design experts. Your role will involve leveraging deep technical expertise along with business acumen to assist clients in addressing their most transformative challenges. Working in integrated teams, you will develop data-driven strategies and innovative solutions to drive competitive advantage for clients by harnessing the power of data and artificial intelligence. Your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to define and implement analytics features, utilize Kubernetes and containerization technologies for deployment, develop APIs and microservices, ensure robust security measures, monitor application performance, contribute to coding standards, stay updated on emerging technologies, automate deployment processes, and collaborate closely with clients to assess opportunities and develop analytics solutions. To qualify for this position, you are required to have a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6 years of experience at a Senior or Staff level. Proficiency in client-side and server-side technologies, cloud platforms, Python, Git, DevOps, CI/CD, and various other technical skills is necessary. Additionally, strong interpersonal and communication skills, curiosity, proactivity, critical thinking, and a solid foundation in computer science fundamentals are essential for this role. This role also requires a willingness to travel up to 30% of the time. If you are looking for an opportunity to work in a collaborative and supportive environment, continuously learn and grow, and contribute to developing cutting-edge analytics solutions for clients across different sectors, this position may be the perfect fit for you.,

NTT DATA is looking for a Banking Business Domain Architect to join their team in Bangalore, Karnataka, India. As a Data & Analytics Business Domain Architect, you will be responsible for bridging the gap between data-driven insights and business strategy across various sectors such as Insurance, Banking, Finance, Manufacturing, and Energy. Your role will involve designing and implementing business and data architecture strategies to ensure that data is structured, accessible, and aligned with the company's business goals. Key Responsibilities include: 1. Designing comprehensive data strategies that support key business processes in Insurance, Banking & Finance, Manufacturing, and Energy sectors. 2. Aligning business needs with data architecture by working closely with stakeholders and translating their requirements into data architecture and analytics solutions. 3. Implementing business-centric analytics solutions in areas such as policyholder insights, financial forecasting, operational efficiency, and asset optimization. 4. Leading the integration of data with business applications like ERP systems, CRM tools, and data platforms in the respective domain. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. With experts in more than 50 countries and a robust partner ecosystem, NTT DATA offers services in consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity. As a part of NTT Group, they invest in R&D to support organizations and society in the digital future. Visit us at us.nttdata.com,

As a Data Project Manager at Myridius, you will be responsible for leading projects from start to finish, ensuring successful delivery within budget and timeline constraints. You will define project scope, objectives, and milestones, effectively communicate them to stakeholders, and manage project resources including team members, budget, and technology stack. Proactively identifying and mitigating project risks will be a key part of your role, along with tracking project progress and providing regular status updates to stakeholders. In terms of team management, you will build and lead a high-performing team of data engineers and analysts. Creating a collaborative and productive work environment by promoting open communication and effective problem-solving will be essential. You will assign tasks based on team member strengths and workload capacity, provide regular feedback, coaching, and support for team members" growth. Your technical skills should include experience managing data warehousing projects on platforms like Snowflake and a basic understanding of cloud computing infrastructure and platforms such as AWS, Azure, or GCP. Collaboration with the data architect to ensure the data architecture can handle continuous data growth and complexity will also be part of your responsibilities. Maintaining clear and consistent communication with stakeholders, facilitating collaboration across cross-functional teams, and resolving data-related issues effectively are crucial aspects of your role. You will contribute to the Cloud Center of Excellence initiatives, share knowledge and best practices within the Cloud solutioning domain, and foster a culture of continuous learning and collaborative problem-solving within the team. Recruiting and onboarding new talent to strengthen the Cloud practice, implementing coaching and mentoring programs to upskill the team, and fostering cross-functional collaboration to achieve project goals and milestones will also be part of your responsibilities. Motivating and inspiring the project team, making clear and informed decisions under pressure, managing project costs effectively, and ensuring timely project completion within defined timelines and budget constraints are key components of your role. If you are passionate about driving innovation and excellence in data project management, and if you thrive in a dynamic and collaborative work environment, then this role at Myridius is the perfect opportunity for you to make a significant impact in the rapidly evolving landscapes of technology and business. Visit www.myridius.com to learn more and be a part of our transformative journey in helping businesses thrive in a world of continuous change.,