Senior Architect leading AWS Data Management initiatives for Audi and Capgemini's IT consulting team. Focusing on data architecture, governance, and integration for improved automotive processes.
About the role
- 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.
Benefits
- Health insurance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Flexible working hours
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