Cybersecurity Ent Sol Architect - Data App Protection jobs at Ey in India, Kochi

Your key responsibilities

• Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data
• Define and employ data modelling and design standards, tools, best practices, and related development methodologies
• Design, review, and maintain data models
• Perform data analysis activities to capture data requirements and represent them in data models visualization
• Manage the life cycle of the data model from requirements to design to implementation to maintenance
• Work closely with data engineers to create optimal physical data models of datasets
• Identify areas where data can be used to improve business activities

Skills and attributes for success

• Experience: 3 to 8 years
• Data modelling (relevant knowledge): Minimum 3 years
• Experience in data modeling tools including but not limited to Erwin Data Modeler, ER Studio, Toad, etc.
• Strong knowledge in SQL
• Basic ETL skills to ensure implementation meets the documented specifications for ETL processes including data translation/mapping and transformation
• Good data warehouse knowledge
• Optional visualization skills
• Knowledge in data quality (DQ) and data profiling techniques and tools

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3 to 8 years of industry experience
• Have working experience in an Agile-based delivery methodology (preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Strong analytical skills and enjoy solving complex technical problems
• Proficiency in software development best practices
• Excellent debugging and optimization skills
• Experience in enterprise-grade solution implementations and converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
• Excellent communicator (written and verbal, formal and informal)
• Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Client management skills

Responsibilities:

• Lead integration of Microsoft Copilot and Azure OpenAI solutions into Microsoft pursuits across all SR’s.
• Drive AI-powered solution architecture and positioning for Business Acceleration, RFPs, ISD/PDOC deals, and transformation proposals and engagements through estimation templates, unit pricing, accelerators.
• Represent AI capabilities in alliance-led presentations, client demos, and innovation discussions.
• Partner with COEs to develop accelerators, reference architectures, and POCs around Microsoft Copilot.
• Stay on top of all latest Microsoft AI updates, publish updates, and be the Microsoft AI spokesperson within EY.
• Collaborate closely with Cloud, Cyber, Data, Modern Work (MW), and Power Platform SPOCs for integrated AI-driven solutions to achieve overall objectives.

Experience Level:

Minimum 14 years of relevant industry experience.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Your key responsibilities

• Design, develop, and implement ETL workflows using Informatica PowerCenter and Talend.
• Collaborate with business analysts and data architects to understand requirements and deliver scalable solutions.
• Perform data extraction, transformation, and loading from multiple sources into target systems.
• Optimize ETL jobs for performance and reliability.
• Ensure data quality, integrity, and compliance with organizational standards.
• Troubleshoot and resolve ETL issues in production and non-production environments.
• Document ETL processes, mappings, and workflows for maintainability.
• Ensure continual knowledge management and contribute to internal learning and development teams
• Building a quality culture.

Skills and attributes for success

• 1 – 3 years of hands-on experience in ETL development with Informatica PowerCenter and Talend.
• Strong knowledge of SQL and relational databases (Oracle, SQL Server, etc.).
• Solid understanding of data warehousing concepts, data modeling, and performance tuning.
• Experience in handling large datasets and complex transformations.
• Familiarity with job scheduling tools and version control systems.
• Excellent problem-solving and communication skills.

To qualify for the role, you must have

• BE/BTech/MCA/MBA
• In-depth understanding of data management and data migration concepts.
• Experience of working in minimum one Insurance domain projects with strong experience of data analysis, profiling.
• Very good understanding of the concepts and technology around data extraction, data migration, data transformation, data load, data profiling, data quality management and metadata management.
• More than one year of experience on ETL and Data migration/warehouse projects
• Good communication skills, proven ability and commitment to working collaboratively towards common goal.
• Possess effective planning and problem-solving skills.
• Multi-tasking attitude, equally comfortable operating from within both the technology & business environments.
• Focused on a quality outcome, excellent inter-personal skills and highly motivated.
• Business Rule Analysis and Design experience.
• knowledge on Data Modelling and UNIX/Shell scripting experience

Ideally, you’ll also have

• Worked on at least one end to end migration project.
• Understanding of Business Intelligence, Data Warehousing and Master Data Management.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 16- 20 years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Architect in designing highly scalable solutions Azure, AWS and GCP.
• Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs,Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills
• Possess the innate quality to become the go to person for any marketing presales and solution accelerator within the practise.

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Job description: Manager TPRM

Our clients are faced with external pressures on an unprecedented scale. The ability to translate strategy into reality is key to their enhanced business performance. As an advisory professional, you will be focused on helping them achieve this goal.

You’ll work in high-performing teams that deliver exceptional client service, enabling organisations to grow, innovate, protect and optimise their business performance – playing your part in building a better working world.

We believe that you should own and shape your career. But we’ll provide the support and opportunities to develop the skills, knowledge and experience to succeed. The strength of our global network, combined with local empowerment and a relentless focus on winning in specific markets, means you’ll interact and team with individuals from various geographies and sectors. So whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

• Provide guidance and share knowledge with team members and participate in performing procedures focusing on complex, judgmental and/or specialized issues. Work with the team and the client to create plans for accomplishing engagement objectives and a strategy that complies with professional standards and addresses the risks inherent in the engagement
• Brief the engagement team on the client's environment and industry trends. Maintain relationships with client management to manage expectations of service, including work products, timing, and deliverables. Demonstrate a thorough understanding of complex information systems and apply it to client situations
• Use extensive knowledge of the client's business/industry to identify technological developments and evaluate impacts on the client's business. Demonstrate excellent project management skills, inspire teamwork and responsibility with engagement team members, and use current technology/tools to enhance the effectiveness of deliverables and services. Understand EY and its service lines and actively assess what the firm can deliver to serve clients
• Assist Partners & Senior Managers in driving the business development process on existing client engagements by gathering appropriate resources, gaining access to key contacts & supervising proposal preparation.
• Create innovative insights for clients, adapt methods & practices to fit operational team needs, contribute to thought leadership documents and develop new methodologies.
• Facilitate discussions / knowledge sharing with key client personnel and contribute to EY thought leadership.
• Plan & schedule client engagements. Determine and deploy the right team with adequate skill sets for executing engagements and periodically review status of engagements and work products.
• Demonstrate strong project management skills
• Maintain a strong client focus by effectively serving client needs and developing productive working relationships with client personnel. Stay abreast of current business and economic developments and new pronouncements/standards relevant to the client's business.
• Demonstrate industry expertise (deep understanding of the industry, emerging trends, issues/challenges, key players & leading practices)
• Review status updates and prepare management presentations/audit committee presentations etc.
• Actively contribute to improving operational efficiency on projects & internal initiatives.

Your people responsibilities:

• Identify buyers, influencers & stakeholders in existing client engagements and build strong relationships.
• Display teamwork, integrity and leadership. Work with team members to set goals and responsibilities for specific engagements. Foster teamwork and innovation.
• Drive performance management for self and team.
• Driving the quality culture agenda at GDS
• Manage the performance management for the direct reportees, as per the organization policies
• Training and mentoring of project resources
• Participating in the organization-wide people initiatives

Mandatory skills:

• Strong knowledge of information security concepts, risk and controls concepts
• Strong knowledge of standards such as ISO 27001/2, ISO 22301, ISO 27018, PCI – DSS, HITRUST, etc.
• Strong knowledge of regulations such as FISMA, HIPAA, Reg SCI, MAS, etc.
• Good knowledge of TCP/IP, concepts of OSI layer and protocols, networking and security concepts
• Strong knowledge of OS (Windows / Linux) security, Database security
• Sound familiarity with OWASP and Secure SDLC standards / frameworks
• Strong knowledge of IT infrastructure (switches, routers, firewalls, IDS, IPS, etc.)
• Strong knowledge of Security architecture design and review
• Sound experience in LAN/WAN architectures and reviews
• Good knowledge on Privacy, Governance and reporting
• Sound knowledge of anti-virus solutions (e.g. Symantec, McAfee, etc.)
• Knowledge of incident management, disaster recovery and business continuity management
• Knowledge of Cryptography
• Knowledge of physical and environmental security
• Knowledge of Asset Security and Identity and Access Management
• CISSP, CISA, CISM, CEH, ISO 27001 Lead Auditor and Lead Implementer
• BE/BTech/MCA with a sound industry experience of 7 to 10 Yrs

Preferred skills:

• Deep domain experience in a specific sector
• Prior Client facing experience

Role Overview

As a senior Data Engineer, you will be responsible for building robust, scalable, and compliant data pipelines from raw scientific sources to integrated and consumption-ready data products in the R&D landscape. You will partner with architects, domain SMEs, and analysts to develop re-usable components supporting early discovery, development, and regulatory needs.

Key Responsibilities

• Design and implement pipelines across L1–L3 layers using Databricks and Spark.
• Develop modular, parameterized ETL processes for large-scale scientific data integration.
• Implement and maintain STTM mappings and transformation logic with domain BAs.
• Build metadata-driven orchestration, logging, and observability frameworks.
• Support performance optimization, validation, and deployment readiness across squads.
• Collaborate with architects on cloud-native best practices and standards.

Must-Have Skills

• 8+ years of experience in data engineering, with 3+ in life sciences or R&D settings.
• Hands-on expertise with Spark, Databricks, Delta Lake, and Python/SQL.
• Experience in building pipelines with STTM/SDTM alignment and scientific data quality requirements.
• Good understanding of L1–L3 pipeline layering and governance controls.
• Familiarity with GxP or other compliance-driven implementations.

Nice-to-Have Skills

• Exposure to ELNs, LIMS, compound registration systems, or bioassay platforms.
• Knowledge of Unity Catalog, Matillion, or metadata-driven architecture approaches.
• Experience with ingestion frameworks, schema evolution, and CI/CD for data.