Sr Manager, Data Architecture

About McDonalds in India 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 About McDonalds One of the worlds largest employers with locations in more than 100 countries McDonalds 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 Bachelors 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 Masters 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 Hyderabad India Work pattern Full time role Work mode Hybrid Additional Information McDonalds is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs McDonalds 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 McDonalds Capability Center India Private Limited McDonalds in India is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture At McDonalds in India employment decisions are based on merit job requirements and business needs and all qualified candidates are considered for employment McDonalds 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