Data Architect

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitmenttcs.com or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role : Data Architect Job Type: Permanent (Hybrid) Location: London, United Kingdom Ready to utilize your skills in designing, creating, and managing data architecture? Join us as a Data Architect. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Gain access to endless learning opportunities. • Be part of an exciting team where you will be challenged every day. • Build strong relationships with a diverse range of stakeholders. The Role As a Data Architect, you will be responsible for designing, creating, and managing data architecture. You will also ensure that data is efficiently and securely stored, organized, and accessible across the enterprise. Build the foundation for databases, data warehouses, data lakes, and other data storage solutions, ensuring they meet both business and technical requirements. Key responsibilities: Design Data Architecture: - Develop and design the data architecture framework for the organization. - Create models for databases, data warehouses, data lakes, and other storage solutions to store and manage data in an efficient, scalable, and secure manner. - Establish and maintain the overall data structure and logical/physical designs. Data Governance & Security: - Ensure that data governance policies are followed to maintain data quality, integrity, and consistency. - Implement and enforce data security measures to protect sensitive information and comply with legal and regulatory requirements (e.g., GDPR, CCPA). - Work with compliance teams to ensure data practices meet regulatory standards. Data Integration: - Oversee the integration of data from multiple sources, including internal and external systems, into a unified, efficient data architecture. - Design and implement data pipelines to move data seamlessly between platforms. - Ensure the architecture supports both batch and real-time data processing needs. Collaborate with Stakeholders: - Work closely with Data Engineers, Data Scientists, Business Analysts, and IT teams to understand their data needs and ensure alignment with business objectives. - Gather requirements from business units to ensure the data systems support business operations and decision-making processes. - Provide recommendations for improvements to data storage, management, and analysis based on evolving business needs. Performance & Scalability: - Optimize data systems to improve performance, including fast access to large datasets and quick processing speeds. - Plan for scalability of the data architecture to accommodate future growth in data volume, complexity, and technological advancements. - Evaluate and recommend tools, technologies, and platforms that support efficient data management. Maintain Data Quality & Data Standards: - Establish data standards, including data naming conventions, formats, and definitions. - Ensure data consistency across systems and address issues related to data quality, such as duplication or discrepancies. - Continuously monitor the data architecture and troubleshoot any issues related to data flow, access, or performance. Data Modeling: - Design and implement data models (conceptual, logical, and physical) for enterprise data structures. - Define how data entities relate to one another, ensuring models can be used to meet business requirements and analytical needs. - Create data dictionaries and documentation to ensure transparency and standardization across teams. Data Migration & Transformation: - Lead data migration efforts, particularly during system upgrades or transitions to new platforms. - Define and implement ETL (Extract, Transform, Load) processes for transforming data into usable formats for analytics and reporting. Documentation and Reporting: - Document data architecture designs, processes, and standards for reference and compliance purposes. - Create reports on the status of data architecture projects and provide recommendations to senior leadership. Stay Updated with Data Technologies: - Stay current with the latest trends, technologies, and best practices in data architecture, cloud computing, and big data platforms. - Continuously assess new technologies that can improve data architecture and recommend tools for adoption. Your Profile Key Skills/ Knowledge/Experience • Strong expertise in data modeling techniques (conceptual, logical, physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. • Deep understanding of data governance frameworks and best practices. • Knowledge of security protocols, data privacy regulations (e.g., GDPR, CCPA), and how they apply to data architecture. • Extensive experience in data architecture, database management, and data modeling. • Proven track record of successfully designing and implementing data architecture solutions at scale. • Experience working with large-scale data systems, particularly in cloud environments. • Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer). • Experience with machine learning and AI integration into data architectures. • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience with advanced analytics and data science use cases. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes. You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. If you are an applicant who needs any adjustments to the application process or interview, please contact us at UKI.recruitmenttcs.com with the subject line: “Adjustment Request” or call TCS London Office 02031552100 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.