Senior Data Architect
India
Zensar
Zensar is a global organization which conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for over 200 leading companies. Our solutions leverage industry-leading platforms to...Planning
- Lead data solution requirements gathering and ensure alignment with business objectives and constraints.
- Define and refine data architecture runways for intentional architecture with the key stakeholders
- Provide input into business cases and costing
- Participate and provide data architectural runway requirements into Programme Increment (PI) Planning
Architecture Capability
- Develop and oversee data architecture views and ensure alignment with enterprise architecture.
- Maintain and oversee the data solution artifacts in the set enterprise repository and knowledge portals aligned to the rest of the architecture
- Manage the data architecture processes based on the requirements for each architype
- Manage change impact of the data architecture with stakeholders
- Develop and participate in the build of the data architecture practice with embedded architects and engineers including the relevant methods, repository and tools
- Manage the data architecture considering the business, application, information/data and technology viewpoints
- Establish, enforce and implement data standards, guardrails, frameworks, and patterns
Solution Design
- Lead and review logical and detailed data architecture
- Evaluate and approve data solution options and technology selections
- Select appropriate technology, tools and build for the solution
- Oversee and maintain the data solution blueprints
- Drive incremental modernisation initiatives in the delivery area
Risk, Governance and Compliance
- Identify, assess and mitigate risks at a data solution architecture level
- Ensure and enforce compliance with policies, standards, and regulations
- Lead data architecture reviews and integrate with governance functions
- Integrate with other governance and compliance functions to ensure continuity in managing the investment and risk for the organisation pertaining to the solution architectures
- Establish and provide data standards, guidance, and tools to delivery teams.
Implementation and Collaboration
- Establish and provide data solution architectures and tools to the delivery and data engineering teams
- Lead and facilitate collaboration with delivery teams to achieve architecture objectives
- Manage and resolve deviations and ensure up-to-date data solution design documentation
- Identify opportunities to optimise delivery of solutions
- Oversee and conduct post-implementation reviews
- Ensure the data architecture supports CI/CD pipelines to facilitate rapid and reliable deployment of data solutions
- Implement automated testing frameworks for data solutions to ensure quality and reliability throughout the development lifecycle.
- Establish performance monitoring and optimisation practices to ensure data solutions meet performance benchmarks and can scale as needed.
- Integrate robust data security measures, including encryption, access controls, and regular security audits, into the implementation process.
Communication and Knowledge Sharing
- Communicate and advocate up-to-date data solution architecture views
- Communicate the relevant data standards, practices, guardrails and tools to stakeholders relevant to the solution design
- Ensure IT teams are well-informed and trained in architecture requirements
- Communicate and collaborate with stakeholders' relevant views on planning, technology assessments, risk, compliance, governance and implementation assessments
- Foster collaboration between data architects, data engineers, and other IT teams through regular cross-functional meetings and agile ceremonies.
- Communicate and maintain up-to-date blueprint designs for key data solutions
- Ensure effective participation in the agile ceremonies (PI planning, sprint planning, retrospectives, demos)
- Implement regular feedback loops with stakeholders and end-users to continuously improve data solutions based on real-world usage and requirements
- Create a culture of knowledge sharing by organising regular workshops, training sessions, and documentation updates to keep all team members informed about the latest data architecture practices and tools
MINIMUM QUALIFICATIONS/EXPERIENCE (REQUIRED FOR THE JOB)
- Matric
- Degree or diploma in Information Technology, Computer Science, Engineering OR relevant diploma / degree
- Experience: Requires a minimum of 5 years in a technical/solution design role and a minimum of 7 years relevant IT experience
- Data Experience: Required a minimum of 7 years related experience in data engineering, data modeling and design and data management and governance
Data Related Experience:
- Big Data and Analytics (e.g., Hadoop, Spark)
- Data Warehousing (e.g., DataBricks, Snowflake, Redshift)
- Master Data Management (MDM)
- Data Lakes and Data Mesh
- Metadata Management
- ETL/ELT Processes
- Data Privacy and Compliance Cloud Data Services
ADDITIONAL QUALIFICATIONS/EXPERIENCE (PREFERRED)
- DAMA-DMBOK
- TOGAF
- ArchiMate
- Cloud Certifications (AWS, Azure)
- Financial Industry Experience
COMPETENCIES REQUIRED
Related attributes and competencies related to architecture:
- Critical thinking/problem solving
- Teamwork/collaboration
- Effective Communication Skills
- Leadership skills
- Knowledge and experience in architecture domains
- Knowledge and experience in architecture methods, frameworks and tools
- Solution Design Experience
- Agile Knowledge and Experience
- Cloud Knowledge and Experience
Data related competencies:
- Data modeling, database design and data governance best practices and implementation
- Data architecture principles and methodologies
- Data integration technologies and tools
- Data management and governance
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data CI/CD Computer Science Databricks Data governance Data management Data Warehousing DMBoK ELT Engineering ETL Hadoop Pipelines Privacy Redshift Security Snowflake Spark Testing TOGAF
Perks/benefits: Equity / stock options Team events
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