JD for data architect
Exp: 10+ years in IT, with at least 5+ years specializing in data architecture, data warehousing, and large-scale data engineering.
We are seeking a visionary and hands-on Senior Data Architect to spearhead the design, development, and optimization of our enterprise data ecosystem on AWS . In this role, you will bridge the gap between complex business requirements and robust, scalable cloud infrastructure. You will architect enterprise-grade data pipelines, modern data lakes/warehouses, and real-time streaming architectures that power our core enterprise applications and analytics platforms.
Key Responsibilities
Requirements Translation & Business Partnership
Partner closely with business stakeholders and technical SMEs to identify required data, locate source systems, and translate complex business rules into clear, actionable data requirements and robust solution designs.
Cloud Data Architecture & Scalability
Design and evaluate scalable cloud data structures and warehousing solutions on AWS that expertly support application needs, current data volumes, and long-term future growth.
Modernize legacy on-premises data systems and monolithic databases into cloud-native, microservices-friendly data stores.
Data Integration & Process Design
Define how data is collected, transformed, stored, and kept current across the enterprise.
Leverage deep experience in ETL automation and orchestration to build reliable, maintainable, and high-performance data pipelines.
Technical Execution & Guidance (SQL & Python)
Bring practical, hands-on experience manipulating data and implementing complex transformation logic.
Provide the technical depth needed to validate results, troubleshoot complex data issues, and guide developers through hands-on implementation.
Governance, Security, & Collaboration
Establish enterprise-wide data governance, metadata management, and compliance controls (GDPR, CCPA, SOC2) using tools like AWS Lake Formation and the Glue Data Catalog.
Collaborate with Enterprise Architects, Software Engineers, and DevOps to align data patterns with application requirements and CI/CD pipelines.
Required Qualifications & Skills
Experience: 10+ years in IT, with at least 5+ years specializing in data architecture, data warehousing, and large-scale data engineering.
AWS Expertise: Deep, hands-on experience designing architectures using core AWS data services:
Storage & Warehousing: Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon Aurora / RDS.
Processing & Ingestion: AWS Glue, Amazon Kinesis, Amazon EMR, AWS Lambda, MSK (Managed Streaming for Apache Kafka).
Governance & Security: AWS Lake Formation, IAM, KMS.
Technical Stack:
Advanced proficiency in SQL and programming languages like Python (or Scala) for data manipulation and transformation logic.
Experience with orchestration tools (e.g., Apache Airflow, AWS Step Functions) and Infrastructure as Code ( Terraform, AWS CloudFormation ).
Certifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect (Professional preferred).
About Mphasis:
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Equal Opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.