1806 Data Architecture Jobs - Page 46

At Broadridge, weve built a culture where the highest goal is to empower others to accomplish more. If you re passionate about developing your career, while helping others along the way, come join the Broadridge team. 1. 6-10 years of experience as a Product Owner, with demonstrated expertise in managing complex data elements across multiple products. 2. Capable of defining and communicating a clear vision for data products, ensuring alignment with the organizations priorities and goals. 3. Collaborate with multiple cross-functional teams - including engineering, product and business SMEs - to gather and understand their data needs and translate them into actionable requirements. 4. Design and implement a robust, scalable, and transparent intake process for collecting, evaluating, prioritizing, and tracking data-related requests from across the organization. 5. Own the product backlog, ensuring stories and tasks are clear, complete, and prioritized according to business value and technical feasibility. 6. Partner with technical teams to deeply understand source systems, data models, data pipelines, data quality, and data governance issues. Facilitate discussions around data architecture, accessibility, and integration. 7. Define clear, comprehensive user stories and acceptance criteria based on business and technical requirements, especially for complex data use cases and integrations. 8. Ensure effective communication and change management practices are in place as data products evolve and are rolled out to users. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company and ultimately a community that recognizes and celebrates everyone s unique perspective.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: Data Architecture Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation:As a Data & AI Technology Manager specializing in .NET, Azure, and GCP at Accenture India, you will lead cross-functional teams to design and implement innovative data solutions that drive business transformation for our clients. Your expertise in cloud services, data management, HR technologies, and AI-driven solutions will be pivotal in delivering high-quality projects aligned with client objectives. Additionally, you will leverage your understanding of key Talent and HR domains to design data-driven workforce solutions that enhance employee experience, optimize talent strategies, and drive business growthKey Responsibilities:Project Leadership:Oversee the end-to-end delivery of data engineering projects, ensuring solutions are scalable, secure, and meet performance standards.Technical Expertise:Utilize deep knowledge of .NET frameworks, ACloud & Containers:Leverage expertise in containerization technologies such as Kubernetes and Docker to optimize cloud-based deployments and ensure high availability.Client Engagement:Collaborate with clients to gather requirements, provide strategic insights, and translate business needs into technical solutions.Team Management:Lead and mentor a team of data engineers and developers, fostering a culture of continuous learning and innovation.Quality Assurance:Implement best practices in data management, including data quality, governance, and security protocols.Innovation and Strategy:Stay abreast of industry trends and emerging technologies to drive the adoption of cutting-edge data solutions and maintain a competitive edge.Enterprise Architecture:Review and integrate all application requirements, including functional, security, integration, pe What are we looking for ASP.NET MVCMicrosoft Azure DevOpsAdaptable and flexibleAbility to perform under pressureProblem-solving skillsDetail orientationAbility to establish strong client relationship Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. Roles & 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. Roles & 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL processes.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data analytics.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL processes.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data analytics.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Senior Data Architect GCP | 8 - 12 Yrs | Chennai Location: Chennai Notice Period: Immediate / Serving Notice / 30 Days Max Experience: 8 - 12 Years Employment Type: Full Time About the Role: Join our dynamic Materials Management Platform (MMP) This platform is redefining how we plan and manage inventory across Product Development, Manufacturing, Finance, Purchasing, and N-Tier Supply Chain systems. We are looking for a highly experienced Data Architect who excels in designing and deploying Data-Centric Architectures on GCP . Youll work across modern and legacy ecosystems , building highly scalable, secure, and efficient data solutions that power real-time and batch operations. Must-Have Skills (Top Priority): GCP (Google Cloud Platform) Core expertise Data Architecture & Engineering Strong foundations in large-scale design BigQuery, GCP Pub/Sub, Airflow Java / Python / Spark / SQL / Scala Streaming & Batch Pipelines Microservices, REST APIs DevOps Tools: Terraform, GitHub Actions, Tekton, Docker RDBMS: MySQL, PostgreSQL, SQL Server Good to Have: Cloud Solution Architecture certification Automotive domain experience Onshore-offshore collaboration experience Agile methodology exposure (JIRA) Education & Background: Bachelor's or equivalent in Computer Science / IT / Engineering 8+ years in data engineering / cloud software development Proven experience in launching data products at scale #GCP

3+ years of experience in data engineering or backend development with a focus on highly scalable data systems Experience B2B SaaS AI company ideally in a high-growth or startup designing and scaling cloud-based data platforms (AWS, GCP, Azure).

Travel Requirement: Must travel to the EA Hyderabad office at least once a month. Key Responsibilities: Lead the end-to-end design and architecture of Salesforce solutions Collaborate with business stakeholders to convert requirements into scalable, effective solutions Provide guidance to development teams on best practices in Apex, LWC, Aura, and system integrations Ensure alignment with Salesforce security protocols and data governance policies Manage deployment processes using tools like ANT, Change Sets, and CI/CD pipelines Required Experience & Skills: Minimum of 8 years' experience in Salesforce, with strong proficiency in Apex, Visualforce, Lightning Web Components (LWC), and Aura Solid understanding of Salesforce architecture across Sales Cloud, Service Cloud, and Experience Cloud Expertise in integration technologies such as REST, SOAP APIs, and WSDL Hands-on experience with development tools like VS Code, Data Loader, Workbench, and version control using Git Familiar with Agile practices and tools like Jira and Agile Accelerator Possession of multiple Salesforce certifications, such as Application Architect or System Architect, is highly preferred Essential Skills: Lightning Web Components (LWC) APEX, Aura, Visualforce Salesforce Integration (REST, SOAP, Streaming APIs, Events) Data Architecture and Migration Business Process Mapping and Design Integration and Estimation Architecture Strategy and Roadmap Planning

Senior Azure Databricks Engineer We are looking for a Senior Azure Databricks Engineer to support and maintain our internal BI platform, used by our Finance and Business Operations teams. This is a hands-on technical role focused on backend data operations including data ingestion, transformation, and CI/CD support within a cloud-based data warehouse environment. Key Responsibilities: Ensure stable operation of the internal BI platform used by Finance and Business Operations Develop, maintain, and troubleshoot data pipelines for ingestion, transformation, and load using Azure Databricks (PySpark, SQL). Support and optimize CI/CD pipelines (Azure DevOps) for smooth deployments and minimal downtime. Collaborate with BI front-end analysts, IT teams, and business stakeholders to ensure alignment of data needs and delivery. Monitor and improve system performance, resolve incidents, and ensure data quality and consistency. Maintain data architecture standards and support platform scalability and compliance. Integrate data from systems like D365 Finance Operations and other business applications. Work with Azure services such as Data Lake, Key Vaults, Service Principals, and SQL Database. Maintain proper documentation of processes, configurations, and procedures. Participate in improvement initiatives to enhance platform efficiency and usability. What you need to succeed: 7+ years of experience with Business Data Analytics Platforms. Strong hands-on experience with Azure Databricks, PySpark, and (SparkSQL or SQL) Solid understanding of CI/CD pipelines (preferably with Azure DevOps) and troubleshooting deployment issues. Proficiency in Python and working knowledge of Shell scripting. Experience with data ingestion, ETL processes, and managing large-scale data pipelines. Experience with Azure services such as Azure Key Vaults, Azure SQL, Azure Data Lake, and Service Principals. Understanding data governance, security standards, and handling sensitive data. Ability to work closely with both IT and finance/business stakeholders. Good knowledge of data integration from sources like D365 FO, Unit4, Azure Portal Strong analytical, problem-solving, and communication skills. Excellent problem-solving, collaboration, and communication skills. Department CFO Remote status Hybrid Employment type Full-time Employment level First /Mid-Level Officials Application deadline 30 June, 2025 Contact Lead-Talent Acquisition Colleagues Bengaluru OUR POWER IS CURIOSITY, CREATION AND INNOVATION We believe you love to experiment, challenge the established, co-create, develop and cultivate. Together we can explore new answers to today s challenges and future opportunities, and talk about how industrial digitalisation can be a part of the solution for a better tomorrow. We believe that different perspectives are crucial for developing gamechanging technology for a better tomorrow. Join us in taking on this challenge! About Kongsberg Digital Kongsberg Digital is a provider of next generation software and digital solutions to customers within maritime, oil gas and utilities. Together with the rest of KONGSBERG, Kongsberg Digital offers solutions within autonomy, smart data, augmented reality and other areas. Join Kongsberg Digital as we pursue our mission to digitalize the world s industries for a better tomorrow. We truly believe that technology will drive more efficient and sustainable operations, making the oil sector more energy efficient, ships less polluting and green energy future proof. Founded in 2016 Co-workers 1316 CFO Bengaluru Hybrid Senior Azure Databricks Engineer Loading application form Already working at Kongsberg Digital Let s recruit together and find your next colleague.

1 Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Senior Data Engineer designs and oversees the entire data infrastructure, data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. This Lead role has an expectation of 10-15 years of relevant experience and will provide mentorship to junior members of the team. Key responsibilities: Oversee the entire data infrastructure to ensure scalability, operation efficiency and resiliency. Mentor junior data engineers within the organization. Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric). Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 Azure Blob storage). Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize data pipelines in the Azure environment for performance, scalability, and reliability. Ensure data quality and integrity through data validation techniques and frameworks. Develop and maintain documentation for data processes, configurations, and best practices. Monitor and troubleshoot data pipeline issues to ensure timely resolution. Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge. Manage the CI/CD process for deploying and maintaining data solutions. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals. At least 5 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes. 10-15 overall years of experience Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2. Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL). Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing). Experience with big data technologies (e.g., Spark). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Learning agility Technical Leadership Consulting and managing business needs Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted. Experience building spark applications utilizing PySpark. Experience with file formats such as Parquet, Delta, Avro. Experience efficiently querying API endpoints as a data source. Understanding of the Azure environment and related services such as subscriptions, resource groups, etc. Understanding of Git workflows in software development. Using Azure DevOps pipeline and repositories to deploy and maintain solutions. Understanding of Ansible and how to use it in Azure DevOps pipelines. Chevron participates in E-Verify in certain locations as required by law.

Elevate your career and harness your expertise to influence data strategy and craft innovative solutions in a dynamic environment. Be the keystone in revolutionizing data insights and turning challenges into opportunities. As a Data Operations Director in Markets Operations, you conduct, facilitate, and oversee expert analysis to uncover patterns which lead to new questions and solutions through data collection, integrity, utilization, requirements, and analysis. You apply your extensive in-depth expertise and problem-solving methodologies to accomplish, plan, and review tasks across multiple large scope projects in various technical areas. You use your advanced technical skills to advise on the design and development of metrics reporting and dashboards to enable Operations Management to execute their strategic objectives and ensure conformance with all controls, policies, and procedures. Job responsibilities Oversees the consultative partnerships across multiple stakeholders including Markets Operations Executives and senior Business Management; with strong understanding of the business success factors and underlying data Sets the strategic direction on data requirements and defines, leads, and implements KPIs, trend analysis, dashboards, and analyses to improve business function performance Conceptualizes, structures, and implements multiple programs in line with business priorities and leads the solutioning of highly complex and critical issues and business analysis activities, including improving data utilization and identifying patterns Drive the adoption of cutting-edge technology and automation solutions to streamline operations and enhance data analytics and insight capabilities Manages operational, financial, and technical activities, including financial budgeting, billing, and business planning activities, while ensuring adherence to risk associated controls, and regulatory requirements Communicates information, insights, and solutions to senior management and stakeholders, and designs the strategy to resolve problems through broad decision making Lead and develop a global high-performing team ensuring effective communication and collaboration across regions Required qualifications, capabilities, and skills 10+ years of experience or equivalent expertise in delivering data-driven problem solving and leading global teams Proven ability to lead complex data collection and analysis, and to advise on the development of conclusions Demonstratable experience leveraging advanced knowledge of data technologies to execute solutioning of complex issues and business analysis activities Exceptional leadership and communication skills, with the ability to influence and collaborate with senior management and cross-functional teams Proven ability to develop and retain talent with excellent coaching and mentoring, and an inclusive work culture Preferred qualifications, capabilities, and skills MBA or Master s degree In depth experience with the data architecture discipline including various database design techniques, modeling tools, and data architecture principle

Job Description We are looking for a BI Architect with 13+ years of experience to lead the design and implementation of scalable BI and data architecture solutions. The role involves driving data modeling, cloud-based pipelines, migration projects, and data lake initiatives using technologies like AWS, Kafka, Spark, SQL, and Python. Experience with EDW modeling and architecture is a strong plus. Key Responsibilities Design and develop scalable BI and data models to support enterprise analytics. Lead data platform migration from legacy BI systems to modern cloud architectures. Architect and manage data lakes, batch and streaming pipelines, and real-time integrations via Kafka and APIs. Support data governance, quality, and access control initiatives. Partner with data engineers, analysts, and business stakeholders to deliver reliable, high-performing data solutions. Contribute to architecture decisions and platform scalability planning Qualifications Should have 13 - 19 years of relevant experience. 10+ years in BI, data engineering, or data architecture roles. Proficiency in SQL, Python, Apache Spark, and Ka

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India. Who we are. Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients. Lets talk about the cool stuff you do at Axi ! As the Senior Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi s utilisation of our Customer Data Platform to deliver growth strategies that increase the adoption of Axi s trading products that will generate new trading clients. Your EDGE Assignment/You Will Responsible for building and applying configurations supporting Axi s Customer Data Platform (CDP) - Segment. Collaborating with cross-functional teams across Product, Technology and Marketing to understand requirements, design scalable data pipelines and implement new features or enhancements to the CDP using new data sources and destinations. Supporting the business to derive insights using PowerBI dashboards. Design and develop data pipelines including orchestration, ingestion, transformation, and delivery - across streaming, event and batch-style processing. Work with a team of data specialists analysts helping measure Product onboarding effectiveness and marketing activities. Develop, maintain, and optimize data integration and ETL processes using GCP and Azure services and tools. Create new data pipelines to efficiently enrich Axi s Customer Data Platform. Support our Marketing Data Warehouse and daily synchronisation of channel cost data. Proactively derive insights and data from Axi s platforms to inform digital experience design and strategy, and feed into executive reporting. Democratising data for stakeholders. Responsible for maturing Axis data model which facilitates Customer Data Platform audience activations for Marketing / Sales broader departments. You will keep up to date across industry developments and trends, the latest data architecture techniques, and tools. Adhere to all Axi s policies and procedures to ensure compliance with Axis internal processes. Are you the one Overall 5 years of experience in data/software engineering. Strong experience in Python/SQL. Strong experience using Databricks/Snowflake or other Spark backed data engineering tools. Strong experience using Azure DevOps. Bonus experience using Kafka. Axis bag of delights Competitive and attractive compensation. Extensive learning opportunities, such as professional training and certifications and soft skills development. 18 annual leave days per year. 12 sick days leave per year. Public holidays as declared by local government. Maternity leave as per law. Health Insurance. Axis interview journey Talent Acquisition Interview (45 minutes) Cultural Interview (30 minutes) Technical Interview (90 minutes) Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.

Job_Description":" About tsworks: tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment , we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements. About This Role: tsworks Technologies India Private Limited is seeking driven and motivated Senior Data Engineers to join its Digital Services Team. You will get hands-on experience with projects employing industry-leading technologies. This would initially be focused on the operational readiness and maintenance of existing applications and would transition into a build and maintenance role in the long run. Requirements Position: DataEngineer II Experience: 3 to 10+Years Location: Bangalore, India Mandatory RequiredQualification Strongproficiency in Azure services such as Azure Data Factory, Azure Databricks,Azure Synapse Analytics, Azure Storage, etc. Expertise inDevOps and CI/CD implementation Good knowledgein SQL ExcellentCommunication Skills In This Role, YouWill Design,implement, and manage scalable and efficient data architecture on the Azurecloud platform. Develop andmaintain data pipelines for efficient data extraction, transformation, andloading (ETL) processes. Perform complexdata transformations and processing using Azure Data Factory, Azure Databricks,Snowflakes data processing capabilities, or other relevant tools. Develop andmaintain data models within Snowflake and related tools to support reporting,analytics, and business intelligence needs. Collaboratewith cross-functional teams to understand data requirements and designappropriate data integration solutions. Integrate datafrom various sources, both internal and external, ensuring data quality andconsistency. Ensure datamodels are designed for scalability, reusability, and flexibility. Implement dataquality checks, validations, and monitoring processes to ensure data accuracyand integrity across Azure and Snowflake environments. Adhere to datagovernance standards and best practices to maintain data security andcompliance. Handlingperformance optimization in ADF and Snowflake platforms Collaboratewith data scientists, analysts, and business stakeholders to understand dataneeds and deliver actionable insights Provideguidance and mentorship to junior team members to enhance their technicalskills. Maintaincomprehensive documentation for data pipelines, processes, and architecturewithin both Azure and Snowflake environments including best practices,standards, and procedures. Skills Knowledge Bachelors orMasters degree in Computer Science, Engineering, or a related field. 3 + Years ofexperience in Information Technology, designing, developing and executingsolutions. 3+ Years ofhands-on experience in designing and executing data solutions on Azure cloudplatforms as a Data Engineer. Strongproficiency in Azure services such as Azure Data Factory, Azure Databricks,Azure Synapse Analytics, Azure Storage, etc.

Exciting opportunity for a Delivery Lead Data Architect to join a high-growth analytics environment. You will be responsible for leading end-to-end technical delivery across data platforms, ensuring robust architecture, performance, and cross-functional alignment. Location : Gurugram (Hybrid) Your Future Employer A reputed analytics-driven organization focused on delivering innovative and scalable data solutions. Known for its inclusive work culture and continuous learning environment. Responsibilities 1) Leading design and delivery across complete SDLC for data and analytics projects 2) Translating business requirements into scalable data architecture and models 3) Collaborating with engineering, BI, testing, and support teams for smooth execution 4) Guiding development of ETL pipelines and reporting workflows 5) Mentoring team on best practices in data modeling, engineering, and architecture 6) Driving client communication, estimations, and technical workshops Requirements 1) Bachelors or Masters in Computer Science, IT, or related field 2) 6+ years of experience in data architecture and delivery leadership 3) Proficiency in SQL, Python, data modeling, and ETL tools 4) Experience with cloud platforms (AWS, Azure, or GCP) and Power BI 5) Strong understanding of SDLC, DevOps, and managed services delivery 6) Excellent communication, stakeholder management, and team leadership skills Whats in it for you 1) Opportunity to lead enterprise-level data programs 2) Work across modern cloud-native technologies 3) Competitive compensation with growth opportunities 4) Inclusive and collaborative work environment

What You'll Do We're hiring a Senior Analytics Consultant to lead the analytics strategy behind how we scale and improve customer implementations at Avalara. This is an independent contributor role where you'll own critical dashboards, run deep-dive investigations, and shape operational narratives that guide decisions across GoLive, Sales, and Product. You're not just a builder of dashboardsyou're an advisor who connects dots between data, operations, and customer experience. You'll identify patterns, make recommendations, and communicate insights in ways that influence decisions at every level of the organization. You will report to Senior Manager, Data & Automation GoLive What Your Responsibilities Will Be Strategic Analytics Leadership Lead the design, evolution, and governance of dashboards assets across GoLive operational metrics (e.g., implementation velocity, CPO, quality). Translate complex data into simple, compelling business stories that influence decision-making across executive and operational teams. Identify trends, risks, and opportunities. Promote action through storytelling and strategic framing. Data Architecture & Dashboard Development Develop PowerBI dashboards and analytics models that scale with evolving operational needs. Write, improve, and document SQL queries to integrate and validate data from multiple enterprise systems (Salesforce, internal databases). Establish and enforce best practices for metric definitions, documentation, and data quality. Cross-Functional Partnership Be the analytics expert for GoLive vertical leads, implementation managers, and executive partners. Lead working sessions, executive readouts and business review sessions to ensure insights and context. Advisory & Influence Consult process improvement efforts by using data to evaluate what's working and what's not. Frame analytical work in the context of broader business goals. Be the voice that ties operational data to customer impact and strategic value. What You'll Need to be Successful 10+ years of experience in analytics, business intelligence or data strategy in a SaaS or tech-enabled operations environment. Expert-level SQL experience with BI tools (Power BI preferred; Tableau, Looker etc. also accepted). Demonstrated experience independently managing analytical workstreams that influence senior partners. Exceptional communication skills, able to translate raw data into a compelling, executive-ready narrative. Experience with operational metrics, capacity modeling, customer implementation, or success analytics. What You'll Bring With a strategic mindset grounded in data, you understand both what to measure and why it matters. High ownership and autonomy; you don't wait for direction to uncover and solve important problems. Experience with making the complex simple, bridging technical detail and business clarity with ease.