Data Architect [T500-18859]

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

We are seeking an experienced Data Architect to design, implement, and optimize scalable data solutions on Amazon Web Services (AWS) and / or Google Cloud Platform (GCP). The ideal candidate will lead the development of enterprise-grade data architectures that support analytics, machine learning, and business intelligence initiatives while ensuring security, performance, and cost optimization.

Who we are looking for:

Primary Responsibilities:

Key Responsibilities

Architecture & Design:

• Design and implement comprehensive data architectures using AWS or GCP services
• Develop data models, schemas, and integration patterns for structured and unstructured data
• Create solution blueprints, technical documentation, architectural diagrams, and best practice guidelines
• Implement data governance frameworks and ensure compliance with security standards
• Design disaster recovery and business continuity strategies for data systems

Technical Leadership:

• Lead cross-functional teams in implementing data solutions and migrations
• Provide technical guidance on cloud data services selection and optimization
• Collaborate with stakeholders to translate business requirements into technical solutions
• Drive adoption of cloud-native data technologies and modern data practices

Platform Implementation:

• Implement data pipelines using cloud-native services (AWS Glue, Google Dataflow, etc.)
• Configure and optimize data lakes and data warehouses (S3 / Redshift, GCS / BigQuery)
• Set up real-time streaming data processing solutions (Kafka, Airflow, Pub / Sub)
• Implement automated data quality monitoring and validation processes
• Establish CI/CD pipelines for data infrastructure deployment

Performance & Optimization:

• Monitor and optimize data pipeline performance and cost efficiency
• Implement data partitioning, indexing, and compression strategies
• Conduct capacity planning and scaling recommendations
• Troubleshoot complex data processing issues and performance bottlenecks
• Establish monitoring, alerting, and logging for data systems

Skill:

• Bachelor’s degree in Computer Science, Data Engineering, or related field
• 9+ years of experience in data architecture and engineering
• 5+ years of hands-on experience with AWS or GCP data services
• Experience with large-scale data processing and analytics platforms
• AWS Redshift, S3, Glue, EMR, Kinesis, Lambda
• AWS Data Pipeline, Step Functions, CloudFormation
• BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub
• GCP Cloud Functions, Cloud Composer, Deployment Manager
• IAM, VPC, and security configurations
• SQL and NoSQL databases
• Big data technologies (Spark, Hadoop, Kafka)
• Programming languages (Python, Java, SQL)
• Data modeling and ETL/ELT processes
• Infrastructure as Code (Terraform, CloudFormation)
• Container technologies (Docker, Kubernetes)
• Data warehousing concepts and dimensional modeling
• Experience with modern data architecture patterns
• Real-time and batch data processing architectures
• Data governance, lineage, and quality frameworks
• Business intelligence and visualization tools
• Machine learning pipeline integration
• Strong communication and presentation abilities
• Leadership and team collaboration skills
• Problem-solving and analytical thinking
• Customer-focused mindset with business acumen

Preferred Qualifications:

• Master’s degree in relevant field
• Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer)
• Experience with multiple cloud platforms
• Knowledge of data privacy regulations (GDPR, CCPA)

Work location:

Work pattern:

Work mode:

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.