9 Data Distribution Jobs

As the HR Data Distribution Lead at Morgan Stanley, you will be responsible for managing the HR data distribution platforms and strategies for consumers across HR and the Business. This Vice President level position within the HR Data team will require you to lead a strategic, multi-year initiative to transform the data distribution platforms. Your role will involve defining and maintaining a clear HR data distribution strategy aligned with business objectives and organizational goals. You will drive the development and implementation of HR data management solutions, policies, and procedures to ensure data accuracy, integrity, consistency, and security. Collaborating with Data Security and Data Governance teams, you will establish and enforce data access control frameworks to ensure compliance with firm policies and data lifecycle management. Additionally, you will work closely with technology and business stakeholders to identify and resolve data discrepancies and quality issues. Leading a team of data management and distribution professionals, you will foster a culture of innovation and continuous improvement. Collaboration with cross-functional teams, including IT, analytics, and business units, will be essential to align data management and distribution strategies with organizational goals. Providing strategic guidance to senior leadership on data-related opportunities and risks will also be a key aspect of your role. To excel in this role, you should have a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field, along with 12+ years of experience in HR systems, HR data management, or data distribution roles. Strong leadership, communication, and stakeholder management skills are essential, as well as a proven track record of designing and implementing data management and distribution solutions. Your ability to work effectively in a fast-paced environment, manage shifting priorities, and develop high-performing teams will be critical for success. At Morgan Stanley, you can expect to work in an environment where you are supported and empowered to collaborate with the best and brightest minds. The company is committed to maintaining excellence, diversity, and inclusion, offering attractive employee benefits and perks. If you are a collaborative thinker with a focus on driving results and have a passion for transforming complex data into actionable insights, this role at Morgan Stanley may be the perfect fit for you.,

As a Technical Consultant/Technical Architect with expertise in Fund Accounting, Oracle, and Informatica, you will collaborate with Delivery Managers, System/Business Analysts, and other subject matter experts to comprehend project requirements and design effective solutions. You will play a key role in estimating efforts for new projects and proposals, as well as producing/reviewing technical specifications and unit test cases for ongoing interfaces development. Your responsibilities will include developing and implementing standards, procedures, and best practices for data maintenance, reconciliation, and exception management. You will be expected to demonstrate technical leadership, produce design/technical specifications, propose solutions, and estimate project timelines. Additionally, your role will involve guiding and mentoring junior team members in developing solutions on the GFDR platform. Requirements: - Possess 10-12 years of experience in technical leadership within data warehousing and Business Intelligence domains - Proficiency in Oracle SQL/PLSQL and stored procedures - Familiarity with Source Control Tools (Clear Case preferred) - Sound understanding of Data Warehouse, Datamart, and ODS concepts - Experience in UNIX and PERL scripting - Proficiency in standard ETL tools like Informatica Power Centre - Demonstrated technical leadership in Eagle, Oracle, Unix Scripting, Perl, and scheduling tools such as Autosys/Control - Experience with job scheduling tools (Control-M preferred) - Strong knowledge of data modeling, data normalization, and performance optimization techniques - Ability to guide/mentor juniors in solution building and troubleshooting - Exposure to fund accounting concepts/systems and master data management is desirable - Familiarity with data distribution and access concepts and ability to translate conceptual models into physical ones - Excellent interpersonal and communication skills - Capability to collaborate effectively with cross-functional teams - Willingness to work as part of a team engaged in both development and production support activities Industry: IT/Computers-Software Role: Technical Architect Key Skills: Oracle, PL/SQL, Informatica, Autosys/Control, Fund Accounting, Eagle Education: B.E/B.Tech If you meet the qualifications and are excited about taking on a challenging and rewarding role as a Technical Consultant/Technical Architect with a focus on Fund Accounting, Oracle, and Informatica, we encourage you to reach out to us at jobs@augustainfotech.com.,

As an HR Data Distribution Lead at Morgan Stanley, you will play a crucial role in managing the HR data distribution platforms and strategies for consumers across HR and the Business. This Vice President level position within the HR Data team requires you to lead the project delivery of a strategic, multi-year initiative aimed at transforming the data distribution platforms. Your responsibilities will include defining and maintaining a clear HR data distribution strategy aligned with business objectives and organizational goals. You will drive the development and implementation of HR data management solutions, policies, and procedures to ensure data accuracy, integrity, consistency, and security. Collaborating with various teams, you will be responsible for managing the implementation and maintenance of the HR Data Distribution platform, ensuring timely and secure delivery of data to internal and external stakeholders. In addition, you will lead discussions with HR IT to develop APIs, ETL processes, and other data distribution mechanisms to support business needs. You will also oversee the implementation of data integration solutions to enable seamless data flow across platforms and systems, while liaising with Reporting & Analytics team and other business teams to identify data requirements and deliver actionable insights. As a leader, you will mentor a team of data management and distribution professionals, fostering a culture of innovation and continuous improvement. Collaborating with cross-functional teams, you will align data management and distribution strategies with organizational goals and provide strategic guidance to senior leadership on data-related opportunities and risks. You will also drive the adoption of advanced data tools and platforms to enhance organizational capabilities and identify opportunities to streamline data processes and improve operational efficiency. To be successful in this role, you should hold a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field, with at least 12 years of experience working with HR systems in data management or data distribution roles. Additionally, you should have leadership experience and a strong understanding of data management tools/applications, API development, and data distribution mechanisms. Excellent communication, stakeholder management, problem-solving, and analytical skills are essential, along with the ability to work effectively in a fast-paced environment and manage a high-performing team. At Morgan Stanley India, you will have the opportunity to work alongside the best and the brightest in a supportive and empowering environment. The firm is committed to maintaining high standards of service and excellence while promoting diversity, inclusion, and employee well-being. Join us at Morgan Stanley and be part of a culture that values collaboration, creativity, and continuous growth.,

As a Technical Consultant / Technical Architect with Fund Accounting experience and proficiency in Oracle and Informatica, your primary responsibility will be to collaborate with Delivery Managers, System/Business Analysts, and other subject matter experts to comprehend project requirements. Your role will involve designing solutions, providing effort estimation for new projects/proposals, and developing technical specifications and unit test cases for the interfaces under development. You will be expected to establish and implement standards, procedures, and best practices for data maintenance, reconciliation, and exception management. Your technical leadership skills will be crucial in proposing solutions, estimating projects, and guiding/mentoring junior team members in developing solutions on the GFDR platform. Key Requirements: - 10-12 years of experience in technical leadership within data warehousing and Business Intelligence fields - Proficiency in Oracle SQL/PLSQL and Stored Procedures - Familiarity with Source Control Tools, preferably Clear Case - Sound understanding of Data Warehouse, Datamart, and ODS concepts - Experience in UNIX and PERL scripting - Proficiency in standard ETL tools like Informatica Power Centre - Technical leadership in Eagle, Oracle, Unix Scripting, Perl, and job scheduling tools like Autosys/Control - Strong knowledge of data modeling, data normalization, and performance optimization techniques - Exposure to fund accounting concepts/systems and master data management is desirable - Ability to work collaboratively with cross-functional teams and provide guidance to junior team members - Excellent interpersonal and communication skills - Willingness to work both in development and production support activities Industry: IT/Computers-Software Role: Technical Architect Key Skills: Oracle, PL/SQL, Informatica, Autosys/Control, Fund Accounting, Eagle Education: B.E/B.Tech Email ID: jobs@augustainfotech.com If you meet the specified requirements and are passionate about delivering innovative solutions in a collaborative environment, we encourage you to apply for this exciting opportunity.,

The SF Data Cloud Architect plays a critical role within Salesforce's Professional Services team, assisting in pre-sales and leading the design and implementation of enterprise-grade Data Management solutions. As the SF Data Cloud Architect, you will be responsible for architecting scalable solutions across enterprise landscapes using Data Cloud. Your role involves ensuring that data is ready for enterprise AI, applying data governance guardrails, supporting enterprise analytics, and automation. This position covers the ANZ, ASEAN, and India markets. The ideal candidate for this role should bring deep expertise in data architecture, project lifecycle, and Salesforce ecosystem knowledge. Additionally, possessing strong soft skills, stakeholder engagement capabilities, and technical writing ability is essential. You will collaborate with cross-functional teams to shape the future of the customer's data ecosystem and enable data excellence at scale. Key Responsibilities: - Serve as a Salesforce Data Cloud Trusted Advisor, supporting and leading project delivery and customer engagements during the pre-sales cycle. Provide insights on how Data Cloud contributes to the success of AI projects. - Offer Architecture Support by providing Data and System Architecture guidance to Salesforce Account teams and Customers. This includes reviewing proposed architectures and peer-reviewing project effort estimates, scope, and delivery considerations. - Lead Project Delivery by working on cross-cloud projects and spearheading Data Cloud Design & Delivery. Collaborate with cross-functional teams from Developers to Executives. - Design and guide the customer's enterprise data architecture aligned with their business goals. Emphasize the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy. - Lead Data Cloud architecture enablement for key domains and cross-cloud teams. - Collaborate with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives. - Engage with stakeholders across multiple Salesforce teams and projects to deliver aligned and trusted data solutions. Influence Executive Customer stakeholders while aligning technology strategy with business value and ROI. Build strong relationships with internal and external teams to contribute to broader goals and growth. - Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelines. Technical Skills: - Over 15 years of experience in data architecture or consulting with expertise in solution design and project delivery. - Deep knowledge in MDM, Data Distribution, and Data Modelling concepts. - Expertise in data modelling with a strong understanding of metadata and lineage. - Experience in executing data strategies, landscape architecture assessments, and proof-of-concepts. - Excellent communication, stakeholder management, and presentation skills. - Strong technical writing and documentation abilities. - Basic understanding of Hadoop spark fundamentals is an advantage. - Understanding of Data Platforms such as Snowflake, DataBricks, AWS, GCP, MS Azure. - Experience with tools like Salesforce Data Cloud or similar enterprise Data platforms. Hands-on deep Data Cloud experience is a strong plus. - Working knowledge of enterprise data warehouse, data lake, and data hub concepts. - Strong understanding of Salesforce Products and functional domains like Technology, Finance, Telco, Manufacturing, and Retail is beneficial. Expected Qualifications: - Salesforce Certified Data Cloud Consultant - Highly Preferred. - Salesforce Data Architect - Preferred. - Salesforce Application Architect - Preferred. - AWS Spark/ DL, Az DataBricks, Fabric, Google Cloud, Snowflakes, or similar - Preferred.,

The SF Data Cloud Architect plays a critical role within Salesforce's Professional Services team, assisting in pre-sales activities and leading the design and implementation of enterprise-grade Data Management solutions. As the SF Data Cloud Architect, you are responsible for architecting scalable solutions across enterprise landscapes using Data Cloud. Your primary focus is to ensure that data is prepared for enterprise AI, applying data governance guardrails, and supporting enterprise analytics and automation. This role encompasses the ANZ, ASEAN, and India markets. To excel in this role, you should possess deep expertise in data architecture, project lifecycle management, and comprehensive knowledge of the Salesforce ecosystem. Your strong soft skills, stakeholder engagement abilities, and technical writing proficiency will be crucial. You will collaborate with cross-functional teams to shape the future of the customer's data ecosystem and facilitate data excellence at scale. Your key responsibilities will include being a trusted advisor for Salesforce Data Cloud, providing architectural support to Salesforce Account teams and Customers, leading cross-cloud project delivery, designing enterprise data architecture aligned with business goals, enabling Data Cloud architecture for key domains, collaborating with analytics and AI teams, engaging stakeholders effectively, and creating and maintaining high-quality architecture blueprints and design documents. In terms of technical skills, you should have over 15 years of experience in data architecture or consulting, with expertise in MDM, Data Distribution, Data Modelling, and metadata. You should also have experience in executing data strategies, landscape architecture assessments, and proof-of-concepts. Excellent communication, stakeholder management, presentation, technical writing, and documentation skills are essential. A basic understanding of Hadoop Spark fundamentals and familiarity with Data Platforms like Snowflake, DataBricks, AWS, GCP, MS Azure, and Salesforce Data Cloud are advantageous. Moreover, a working knowledge of enterprise data warehouse, data lake, data hub concepts, and Salesforce Products across different functional domains is beneficial. Ideally, you should hold certifications such as Salesforce Certified Data Cloud Consultant, Salesforce Data Architect, and Salesforce Application Architect. Additional certifications in AWS, Spark/DL, DataBricks, Google Cloud, Snowflake, or similar platforms are preferred.,

Overview: The ISS STOXX Index Gateway Providers Review and Audit team is responsible for ensuring that data is distributed to correct client entities via packages and to users as negotiated and agreed by a contract. In future, this team will also be accountable for facilitating changes in client permissions. We are seeking an Associate who will support these reviews. The ideal candidate will become an orchestrator of various operational activities whilst contributing to key organizational goals. This role will report to the Lead of the Gateway Providers Review and Audit team in Mumbai and build collaborative relationships with various key stakeholders across ISS STOXX divisions. Responsibilities: Periodic review of Gateway Providers Reports Highlight exceptions to Vendors, seeking resolution Identify additional licencing opportunities and directing them to Sales Co-ordinate with the Sales team for resolving issues Timely communication to key stakeholders for change in client permissions Maintain a tracker and log book for exceptions highlighted and issues resolved. Facilitate internal reporting Acts as a bridge between Client Success, Permissioning and Sales teams. Enable continuous improvement. Qualifications: Bachelors/Masters in a related field with 5 to 7 years of post-qualification experience. Ability to work independently. Strong written and verbal communication skills in English. Demonstrated problem solving ability with attention to detail. Can do attitude and a pro-active hands-on mindset. Ability to effectively collaborate with various stakeholders. Effectual organizational skills with the ability to deliver in a fast-paced environment and meet tight deadlines. A strong team player who is organized and meticulous in approach

Software Engineer role is a hands-on position working within the position and cash management teams, implementing product roadmaps, as well as building the next generation platforms in the cloud. It's an individual contributor role, bringing industry experience, best engineering approaches, and methods to solving business problems. There is a variable split between working with the Senior Lead on architecture design and development but in general, more than 80% will be on the latter. Objectives of this role: This role combines software and systems engineering to deliver highly scalable, distributed, fault-tolerant systems. As a Software Engineer in Asset & Wealth Management - at Goldman Sachs, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your platform. You are part of the development teams as an integral accountable member, to deliver highly available, and scalable solutions that meet business goals. RESPONSIBILITIES: Participate in the design, development, testing, roll out and documentation of our systems. Work closely with business users and other developers globally. Understand the business domain and requirements. Work in a highly innovative technical team with plenty of opportunity to improve and grow your technical skills. See your changes directly impact the business. Investigate and POC new technologies on-prem and in cloud. MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: Bachelor's degree (U.S. or equivalent) in a quantitative discipline (ideally computer science or engineering) 1+ years of software development & architecting data distribution platforms / middleware experience MUST HAVE SKILLS AND/OR LICESNSES REQUIRED TO PERFORM THE JOB : A multi-discipline hands-on developer interested in solving real-world problems in the space of information retrieval, distributed computing, large-scale system design and data distribution that will transform the AMD business Proficient in an object-oriented language like Java/Scala/Python. Eager to learn new ones including functional programming languages. Ability to work closely with users to understand the problem space, identify solutions and implement them quickly. Focused on developing scalable solutions that solve a particular problem but are generalized to the right level such that the same solution can be applied to other problems. Constantly trying to improve existing systems / architecture. Keep on top of the latest news in software development from NoSQL/Distributed databases to Reactive Application design to micro-services. Knowledge of cloud architectures, implementation patterns, and deployment patterns Experience with container based and Serverless deployment patterns, as well as cloud databases Strong knowledge of database systems, SQL, and No SQL systems Knowledge of messaging technologies on-premises and on cloud e.g. Kafka, Kinesis Hands on experience building out and maintaining a data distribution platform either in house or as part of a commercial offering, integrating data warehousing and big data environments Strong communication skills with ability to mentor and educate others on producing quality code

Software Engineer role is a hands-on position working within the position and cash management teams, implementing product roadmaps, as well as building the next generation platforms in the cloud. It's an individual contributor role, bringing industry experience, best engineering approaches, and methods to solving business problems. There is a variable split between working with the Senior Lead on architecture design and development but in general, more than 80% will be on the latter. Objectives of this role: This role combines software and systems engineering to deliver highly scalable, distributed, fault-tolerant systems. As a Software Engineer in Asset & Wealth Management - at Goldman Sachs, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your platform. You are part of the development teams as an integral accountable member, to deliver highly available, and scalable solutions that meet business goals. RESPONSIBILITIES: Participate in the design, development, testing, roll out and documentation of our systems. Work closely with business users and other developers globally. Understand the business domain and requirements. Work in a highly innovative technical team with plenty of opportunity to improve and grow your technical skills. See your changes directly impact the business. Investigate and POC new technologies on-prem and in cloud. MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: Bachelor's degree (U.S. or equivalent) in a quantitative discipline (ideally computer science or engineering) 3+ years of software development & architecting data distribution platforms / middleware experience MUST HAVE SKILLS AND/OR LICESNSES REQUIRED TO PERFORM THE JOB : A multi-discipline hands-on developer interested in solving real-world problems in the space of information retrieval, distributed computing, large-scale system design and data distribution that will transform the AMD business Proficient in an object-oriented language like Java/Scala/Python. Eager to learn new ones including functional programming languages. Ability to work closely with users to understand the problem space, identify solutions and implement them quickly. Focused on developing scalable solutions that solve a particular problem but are generalized to the right level such that the same solution can be applied to other problems. Constantly trying to improve existing systems / architecture. Keep on top of the latest news in software development from NoSQL/Distributed databases to Reactive Application design to micro-services. Knowledge of cloud architectures, implementation patterns, and deployment patterns Experience with container based and Serverless deployment patterns, as well as cloud databases Strong knowledge of database systems, SQL, and No SQL systems Knowledge of messaging technologies on-premises and on cloud e.g. Kafka, Kinesis Hands on experience building out and maintaining a data distribution platform either in house or as part of a commercial offering, integrating data warehousing and big data environments Strong communication skills with ability to mentor and educate others on producing quality code