Sap Sales Specialist Google Cloud Platform jobs

• Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
• DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
• Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
• Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
• Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions

• Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
• Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
• Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
• Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
• Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

• 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
• Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
• Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
• Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
• Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
• GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
• Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.

• Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
• Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
• Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems

• Relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Wake up for this:

• Develop, manage and optimize on/offsite strategies to improve organic search engine performance and set goals to ensure relevant results and a positive user experience.
• Monitor and optimize Google Search Console and a variety of SEO tools.
• Work with Development and Marketing teams to ensure correct implementation of SEO recommendations and best practices as well as understand areas of improvement.
• Stay up-to-date with the latest tools, trends and changes with SEO and major search engines.

• Strong technical SEO skills
• SEO expert with at least 5 years’ experience in an international company.
• Proven experience of growing a site to more than 100k visitors per month
• Experienced with a track record of successful SEO program execution.
• Strong with search ranking, optimization factors and key algorithm updates.
• AI & LLM Optimization - Optimize content for AI-driven search engines
• Apply prompt engineering and retrieval optimization to maximize brand visibility across AI- powered platforms.
• Proficient in web analytics software, keyword tools and SEO tools.
• Analytical and strategic thinker with the ability to interpret data and trends
• Familiar with HTML, CSS and JavaScript as they relate to SEO.
• Experienced with WordPress.

Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.

Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.

Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.

Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).

• Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
• Owning SLOs, on-call, incident response, and postmortems for core data services.
• Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
• Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
• Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
• Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
• Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
• Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

• 2+ years leading engineers (team lead or manager) building/operating large-scale data platforms; 5+ years total in Data Infrastructure/DataOps roles.
• Proven ownership of cloud-native data platforms on AWS: S3, EMR (preferably EMR on EKS), IAM, Glue/Data Catalog, Athena.
• Production experience with Apache Iceberg (schema evolution, compaction, retention, metadata ops) and columnar formats (Parquet/Avro).
• Hands-on depth in at least two of: Trino/Presto, Apache Spark/Structured Streaming, Apache Druid, Apache Flink.
• Strong conceptual understanding of Kubernetes (EKS), including autoscaling, isolation, quotas, and observability
• Strong SQL skills and extensive experience with performance tuning, with solid proficiency in Python/Java.
• Solid understanding of Kafka concepts, hands-on experience is a plus
• Experience running on-call for data platforms and driving measurable SLO-based improvements.

• Experience building feature platforms (feature definitions, materialization, serving, and online/offline consistency).
• Airflow (or similar) at scale; Argo experience is a plus.
• Familiarity with BigQuery (and ideally BigLake/Iceberg interop) and operational DBs like Aurora MySQL.
• Experience with Clickhouse / Snowflake / Databricks / Starrocks.
• FinOps background (cost attribution/showback, Spot strategies).
• Data quality, lineage, and cataloging practices in large orgs.
• IaC (Terraform/CloudFormation)

• Relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Provide technical support for both macOS and Windows computers.
• Work according to SLA’s and company IT policies.
• Manage your own ticket queue in our ticketing system.
• Maintain and update our knowledge base and internal IT resources.
• Deliver excellent customer support to employees worldwide.

• Strong problem-solving skills with technical issues and ability to learn new technologies.
• Hands-on experience with storage management.
• Familiarity with ITIL practices (certification is a plus).
• Ability to work with and manage IT ticketing systems.
• Proficiency in both oral and written communication (English & Hebrew).
• Experience working with both macOS and Windows environments.
• A strong “can do” attitude.

• Experience supporting meeting rooms and Zoom conference rooms.
• Advanced knowledge of ticketing systems and workflows.
• Additional IT certifications (e.g., Microsoft, Apple, Cisco).

• Relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

About the Role:

is seeking a highly experienced and technicalto optimize and enhance our Salesforce platform. This role is crucial for translating complex business requirements into efficient, scalable technical solutions and maintaining seamless data flow across our integrated applications.

System Design & Process Optimization:

• Collaborate with business stakeholders to gather, analyze, and document complex business requirements.
• Design, recommend, and implement scalable, best-practice Salesforce solutions to streamline business processes.
• Serve as the platform expert, advising on how to best leverage Salesforce capabilities for maximum efficiency.

Configuration, Automation, and Customization:

• Design and implement advanced automation solutions.
• Develop custom objects, fields, formula fields, page layouts, record types, and validation rules.
• Manage sandbox environments, data deployments, and the release management process.
• Perform all standard administrative tasks including managing user roles, profiles, permission sets, sharing rules, and security settings.

Integration and Data Management:

• Design, configure, and maintain robust integrations between Salesforce and external business applications such as Slack, Outreach, and Hubspot .
• Develop and manage complex data integrations using dedicated iPaaS tools, with specific experience in Workato .
• Work with APIs and integration tools to ensure reliable and secure data flow between systems.

Quality Assurance (QA) and Support:

• Develop and execute detailed test plans for all new features, configurations, and integrations to ensure system stability.
• Provide advanced-level support and troubleshooting for complex technical issues, serving as a primary escalation point.
• Create and maintain detailed system documentation, including design specifications and process maps.

Requirements:

• Experience: 2 years of hands-on experience as a Salesforce Administrator or Systems Administrator, managing an enterprise-level Salesforce instance.
• Automation Expertise: Expert proficiency in building complex automation using Salesforce Flow .
• Integration Tool Experience: Proven, hands-on experience with the Workato integration platform, or similar iPaaS tools, to connect Salesforce with other applications.
• Technical Skills: Proficiency in configuring the Salesforce platform, including declarative tools and the data model.
• Custom Code: Familiarity with Apex, Visualforce, and LWC sufficient for troubleshooting, performing minor modifications, and collaborating effectively with developers.
• Application Integration: Demonstrated success in integrating Salesforce with sales, marketing, and communication platforms like Outreach, Hubspot, and Slack .
• Data Management: Strong understanding of data security, data modeling, and governance.

If you don’t meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what we’re looking for.

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