Data Architect

About NCR VOYIX

NCR VOYIX Corporation (NYSE: VYX) is a leading global provider of digital commerce solutions for the retail, restaurant and banking industries. NCR VOYIX is headquartered in Atlanta, Georgia, with approximately 16,000 employees in 35 countries across the globe. For nearly 140 years, we have been the global leader in consumer transaction technologies, turning everyday consumer interactions into meaningful moments. Today, NCR VOYIX transforms the stores, restaurants and digital banking experiences with cloud-based, platform-led SaaS and services capabilities.

Not only are we the leader in the market segments we serve and the technology we deliver, but we create exceptional consumer experiences in partnership with the world’s leading retailers, restaurants and financial institutions. We leverage our expertise, R&D capabilities and unique platform to help navigate, simplify and run our customers’ technology systems.

Our customers are at the center of everything we do. Our mission is to enable stores, restaurants and financial institutions to exceed their goals - from customer satisfaction to revenue growth, to operational excellence, to reduced costs and profit growth. Our solutions empower our customers to succeed in today’s competitive landscape.

Our unique perspective brings innovative, industry-leading tech to all the moving parts of business across industries. NCR VOYIX has earned the trust of businesses large and small — from the best-known brands around the world to your local favorite around the corner.

Job Title: Data Architect

Department: IT Big Data and Analytics

Location: India

Reports to: Senior Manager, Data Engineering

Hiring Manager: Nikhil Garg

Position Description:
Responsibilities:

- Lead the design and build of scalable and efficient data architectures that support the collection, storage, transformation, analysis and visualization of large volumes of data.
- Define and implement data modeling standards, ensuring consistency, integrity, and optimization of data structures.
- Develop and maintain processes, standards, policies, guidelines, and governance to ensure that a consistent framework and set of standards is applied across the company.
- Promote data as a product and common data model strategy across the organization.
- Create and maintain conceptual / logical and semantic data models to identify key business entities and visual relationships.
- Maintain a data dictionary consisting of table and column definitions.
- Partner with business stakeholders and product teams to understand their data requirements and translate them into actionable solutions that drive business value.
- Collaborate with data engineers to build and optimize data pipelines for ingesting, processing, and transforming data from various sources.
- Build and review data models with both technical and business audiences.
- Provide technical leadership and mentorship to members of the data engineering team, building a culture of innovation and continuous learning.
- Evaluate and recommend new technologies, tools, standards and frameworks to enhance our data architecture and ecosystem.
- Ensure compliance with data governance policies, regulatory requirements, and industry best practices related to data management and security.
- Drive initiatives to improve data quality, accuracy, and reliability through data profiling, cleansing, and validation processes.
- Collaborate with IT and security teams to implement robust data protection mechanisms and ensure the confidentiality and integrity of sensitive data.
- Stay abreast of emerging trends and developments in data management, analytics, and technology, and assess their potential impact on our data architecture strategy.

Position Requirements:

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 12+ years of experience in data architecture, data warehouse/lakehouse/database design, and data modeling.
- Proven track record of designing and implementing complex data architectures using modern technologies such as cloud platforms (e.g. Azure, GCP), big data technologies (e.g. Databricks, Synapse, Snowflake, BigQuery), BI platforms (e.g. PowerBI, Tableau, Looker) and distributed computing frameworks (Spark).
- Extensive experience with data warehouses/lake, relational and non-relational databases
- Strong proficiency in data modeling techniques (e.g., Normalized, Denormalized, Data Vault, ER, Dimensional modeling) and data modeling tools.
- Hands-on experience with designing and implementing models that support batch and real time-data pipelines
- Solid understanding of data governance principles, data security best practices, and regulatory compliance requirements (e.g., GDPR, CCPA).
- Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues and optimize performance.
- Strong communication and interpersonal skills, with the ability to effectively