Software Engineering Principal Architect, Data Cloud
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Job CategorySoftware Engineering
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Data Cloud is a multimodal analytics SaaS solution that seamlessly acquires transactional and behavioral interactions, wrangles and curates data sets appropriately into graph, , tabular, time series and relational models to facilitate optimized query lookups , analytical processing and machine learning at scale in order to empower Sales , Service , Marketing, Web & Mobile Engagement apps with compelling customer experience & engagement.
The customer Data platform will enable companies to unify customer data, manage identity and consent, segment and activate audiences, and optimize engagement with powered insights. In addition, companies can now build a single view of their customers to deliver personalized engagement across marketing, commerce, sales, and service. You’ll be a part of the platform team that is working on building large scale distributed services across all core areas of the platform covering data ingestion, big data management, big data processing, analytics/insights, profile graphs, segmentation, and activations. All the teams are dev/ops focussed and own the end to end pipelines from development through production and support.
We solve customer problems with brilliant simplicity, style, and panache. We are willing to abandon bad ideas and outdated ways of thinking. We’re a global team with a flash mob agility to neutralize customer pain. We have a ferocious appetite for solving problems with engineering KungFu and social genius. We are the Customer Data Platform team in Salesforce. We do what’s right because it’s right. We make it easy. We make it work!
We are seeking an experienced lead software engineer to join a world-class team of highly motivated software engineers and infrastructure experts. Your charter will be to deliver high-quality infrastructure automation tools, frameworks, workflows, and validation platforms that help Salesforce scale infrastructure to meet the phenomenal growth we are experiencing. The team looking to fill this position is focused on delivering a highly scalable, global, and performant API driven orchestration service for the automated delivery of physical and virtual server capacity across multiple providers.
As a Principal Architect you have deep technical knowledge of webscale infrastructure systems and will be responsible for leading and contributing to key projects in design, development, and post-release support of platforms, data frameworks, and validation tools, that are used by a variety of internal teams at salesforce.com. You will work on complex scaling challenges as we move our customers to new infrastructures seamlessly.
The ideal candidate learns quickly, works efficiently in fast paced ambiguous environments, is team driven, solves complex problems permanently, and has an affinity for data and a bias for action.
If you like solving complicated and large-scale challenges for a distributed multi-tenant architecture on the cloud, we would love to hear from you.
Hands-on architect who will lead by example
Articulate and vet technical project scope, size, impact, risks, and feasibility.
Propose highly scalable design and architecture for features
Proactively identify scale bottlenecks and propose solutions with proof of concepts
Be a multiplier by leading a team of performance engineers to improve the scalability of the features delivered
Influence engineering leaders across the company to ensure all features we provide meet our long-term scale expectations
Deliver innovative solutions to improve performance assessment lifecycle in both production and lab
Experience owning and operating multiple instances of a mission-critical service
Experience with Agile development methodology and test-driven Development
Experience using telemetry and metrics to drive operational excellence
Experience balancing live site management, feature delivery, and retirement of technical debt
Experience designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers.
Deep understanding of algorithms and data structures
Expert judgment, analytical and problem-solving skills
Excellent written and verbal communication skills with outstanding attention to details
Drive long-term optimization strategies with impact across multiple projects.
Work across disciplines, brainstorm big ideas, build new methodologies, lead multiple initiatives, drive a concept into a prototype, and ultimately guide the transition into a high-volume consumer product.
Engage and work towards innovations with your peers and broader team
Assess the feasibility of technical feature proposals and ensure that projects are cohesive with well-founded, long-term visions
Use engagement opportunities to drive improvements in the internal performance engineering process
Demonstrate a consistent track record of working with Engineering leaders to complete projects that are impactful to our internal and external customers and responsible for fulfilling senior leadership yearly objectives.
18+ years of relevant industry experience with emphasis on performance and scale
Focus your efforts on vetting the solutions instead of prescribing them
Proven development skills in large-scale distributed architecture
Experience in working with highly available products (24/7)
Experience in performance benchmarks, developing models, proof of concepts for optimizations
Root cause analysis of performance bottlenecks in lab and production
Bachelor’s/Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience
Coach and mentor the Lead and Principle Engineers you work with, emphasizing defining and solving non-functional requirements.
Work with other Architects in undertaking performance analysis, modeling, and projections. Produce detailed documents and models matching the proposed implementation and perform detailed tradeoff analyses for executive review and product roadmap decisions.
Understand the tradeoffs between general purpose and custom mechanisms, be able to model data-flows, and create detailed cost/benefit analysis.
Knowledge of database fundamentals: SQL, schema, internals (Oracle, TKProf, AWR (Automated Workload Repository), ASH (Active Session History)
Experience with Java samplers or profilers like VisualVM, Dynatrace, Yourkit, or similar tools
Experience in using UI profilers and deep knowledge of Chrome developer tools
Experience with observability and monitoring solutions
Experience evaluating and interpreting large volumes of production data using Splunk
Experience in Big data technologies HBase, Hadoop / Iceberg / Delta Lake
Experience with caching systems like Redis
Experience in building new methodologies and driving multiple high-impact initiatives that influence high-volume consumer products
Agile/ Scrum methodology experience
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