Distinguished Software Architect at Walmart Data Ventures guiding technical strategy for scalable systems and data processing. Focused on innovation and maintaining product robustness in a dynamic environment.
Responsibilities
Create and maintenance of the product technical architecture, aligning it with business goals and scalability requirements
Design and oversee the development of scalable and fault-tolerant distributed systems that can handle high volumes of data and traffic with strong focus on Quality Attributes (e.g., performance, security, scalability, reliability etc.) and building sustainable products
Design data processing pipelines and frameworks to efficiently ingest, transform, and analyze large datasets from diverse sources
Optimize data storage and retrieval mechanisms, including databases, caching, and data warehousing solutions
Work with teams to execute on a data mesh strategy, including the development and rollout of tooling and processes to support data contracts
Establish and maintain the product architecture capability map
Provide hands-on technical guidance and mentorship to software engineers, fostering a culture of learning and innovation
Collaborate closely with cross-functional teams, including Product Management, Design, Various Data Provider teams, business stakeholders, and external stakeholders
Do proof-of-concepts and provide strategic & technical recommendations in various products areas
Stay at the forefront of technological advancements, conducting research to identify emerging tools and methodologies
Communicate complex technical concepts effectively to both technical and non-technical stakeholders on specific product areas
Collaborate with product and business leaders throughout the company to ensure that technology initiatives align with business needs
Document architectural decisions, design patterns, data engineering and service design standards, policies, and best practices to facilitate knowledge sharing across the broader organization.
Requirements
At least 8 years of experience in software architecture and engineering leadership
Hands-on and architecture expertise across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms (e.g., Spark, Hadoop, Hive, Kafka, dbt, Airflow), and cloud services (e.g., GCS, BigQuery, Vertex AI, Databricks)
Thorough understanding of Domain-driven Design (DDD) and extensive experience in applying the DDD patterns in Software Development
Thorough understanding of Microservice, Data Mesh Architecture, and Cloud Native Architecture
Firm grasp of System Design and building Highly Reliable systems with strong focus on Operational Excellence
Track record of building highly scalable Application and Data platforms with strong developer focus
Extensive hands-on experience in Contract First/Design First Software Development for Microservices and Data Products, and CI/CD using the Service & Data Contracts
Preferred - Expertise in Web Services (REST), API Design, ORM, Spring MVC, Service Oriented Architecture (SOA), Cloud Computing Platforms (e.g., AWS, Azure, GCP) and Containerization Technologies (e.g., Docker, Kubernetes)
Preferred – Understanding of AI/ML techniques and patterns
Extensive experience in the design, development, and delivery of software products with a large user base
Strong track record in an architect role with large-scale software development data backed services and applications
A clear vision for architecture design and great communication skills to articulate that to all levels of stakeholders
Have strong business acumen to be able to bridge technical and business priorities
Track record of collaboration and influence – recognized as a great partner for the business and technology teams.
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