Data Architecture

Key Skills:

• 7+ years of experience Developing, deploying, and monitoring end to end data and analytics solutions with extensive knowledge of evaluation metrics and best practices.
• 7+ years

  Data Warehouse/Data Lake Architecture and Development.

• 5+ years

  Data Modeling & Architecture with experience in implementing at least one market leading banking and financial services data model i.e. from Oracle, Teradata, IBM

• Experience on

  data modelling tools such as Erwin, ER Studio, SQL modeler is preferred

• Experience in

  ETL/ELT, data Pipelines, Data Quality, blueprints

  development.
• Non-Relational Database experience (Document DB, Graph DB, etc.)
• Understanding of data structures, data modeling and data architecture
• Strong communication skills and ability to work with ambiguity.
• Able to provide direction/support to data modelling team members.
• Strong architectural knowledge for data analytics systems patterns and their pros and cons.
• Strong knowledge of data quality, metadata management, security frameworks / tools implemented for data on cloud architecture
• Skillful resource to understand customer needs and provide target solutions, which is scalable, reliable, and highly available.

Experience required:

• Extensive experience with client engagement & aligning others to your ideas/solutions
• Ability to clarify/translate customer requirements into data models and flows
• Ability to mentor other data architecture and modelling team members
• Ability to present to groups of mixed technical ability
• Participate in & facilitate interviews to grow team
• Performs other duties as assigned
  

Candidate Persona • Agile Leadership • Collaborate and strong team player • Solve problems and analyzes issues • Drive for results. • Display high integrity and honesty • Communicate Powerfully and Prolifically

Key responsibilities

• Defining the

  data architecture framework covering data modelling, security, virtualization, governance, reference and master data, data visualization

• Defining reference architecture and patterns that others can follow to create and improve data systems aligning with industry standards
• Designing data models leveraging

  ER, Dimensional and Data vault modelling technique

  .
• Designing data security and controls to address customer’s data privacy needs inline to current regulations such as GDPR, CCPA etc.
• Designing technical solutions leveraging data virtualization techniques and tools such as Denodo etc.
• Collaborating and coordinating with multiple departments, senior stakeholders including C level, partners, and external vendors
• Designing architecture solutions that are in line with business objectives
• Providing technical leadership, oversight, and direction to project / execution team
• Building effective relationships with customers, CoE, partners and vendors
• You will be responsible for verifying requirements, Data solution architecture & design assurance, developing a delivery plan, providing thought leadership for all data solutions, including designing and development that meet and exceed customer expectations.
• Analysing and translating business needs into long-term solution data models
• Developing best practices for data modeling to ensure consistency within the data landscape
• To be successful in this role, you will be experienced with the Cloud-based data Solution Architectures, Software Development Life Cycle (including both Agile & Waterfall), Data Engineering and ETL tools/platforms, and data modelling practices.
• Be a close partner & collaborate with data engineers, developers, DevOps Engineers, Data scientists, and technical leads to build data pipelines, develop feedback loops to improve data quality, data ingestion, data streaming, workflows, data transformation jobs automation.