Lead Data Architect

Management Level

D

Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries.

EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide.

Capitalising on India’s strong reputation as a global talent hub for IT / ITES, EQ India has structured the organisation to be a part of this growth story. Today, EQ India has evolved as an indispensable part of EQ Group providing critical fintech services to the US and UK.

EQ’s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.

Role Summary

EQ’s Global IT function has begun a transformation journey to support EQ’s transition into a stronger, more profitable, product-led business, driven by real insights and the needs of its customers.

Reporting to the Director of Enterprise Architecture and Strategy, the Lead Data Architect will perform a key role in this transformation by Leading Data Architecture across the organisation.

The Lead Data Architect is responsible for defining the data architecture in alignment to business and technology requirements; the role is responsible to for leading the design and delivery of the enterprise data management framework working with wider Enterprise Architecture team and the Data Offices.

Core Duties/Responsibilities

• Lead the design and development of the organisation's data architecture, including data models, database schemas, and data integration strategies
• Manage the translation of the business requirements into data architecture specifications, including data streams, integrations, transformations, databases, and data warehouses
• Collaborate with the Director Data and team to identify data requirements and develop solutions to meet those requirements
• Ensure that the data architecture supports the organisation's overall strategy and is aligned with its goals and objectives
• Evaluate and recommend new technologies and tools to improve the data architecture and processes
• Work with data engineers and data scientists to ensure that the data infrastructure and processes are scalable, efficient, and secure
• Provide guidance and support to other members of the data team to ensure that they are working effectively and efficiently
• Stay up to date with industry trends and best practices related to data architecture and incorporate them into our processes and architecture
• Infuse a sense of ownership & pride amongst team members to deliver high quality work outputs
• Institute a self-directed and high-performance culture in the team
• Build a strong talent pipeline through hiring, internal movements, succession planning, talent reviews etc.
• Enable a culture of continuous improvement and learning, by coaching team members and role-modelling self-development

Skills, Capabilities and Attributes

Essential:

• Technical graduation preferably in Computer Science or Data Science
• Knowledge of big data technologies (Hadoop, Spark, Kafka).
• Experience building and leading data architecture teams
• Experience leading architecture decision making for new cloud data and integration platforms
• Experience with Data Architecture in secure environments such as Financial Services
• Data architecture design for complex custom software platforms and data lake/data warehouse landscapes
• Knowledge of database technologies (SQL, NoSQL, etc.)
• Familiarity with cloud computing platforms (AWS, Azure, etc.).
• Collaboration and communication skills
• Understanding of data integration and migration strategies
• Technical proficiency with data-related tools and technologies
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work under pressure and manage multiple priorities.
• A team player with a proven ability to inspire and lead.
• Effective stakeholder communication and collaboration
• Leadership and mentoring abilities

Desirable:

• Preferably a Master’s / Certification in Computer Science or Data Science
• Understanding of machine learning concepts.
• Awareness of DevOps principles for data pipelines.
• Understanding of data security best practices.
• Project management skills

Benefits:

Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer:

• 3 days of additional leaves on & above statutory requirement along with 2 days of voluntary leaves to pursue the CSR initiatives
• Business related certification expense reimbursement
• Comprehensive Medical Assurance coverage for dependents & Parents
• Cab transport for staff working in UK & US shift
• Accidental & Life cover 3 times of concerned CTC

We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks.