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In this role, you will be responsible for managing a broad and dynamic sales pipeline of SMB clients (Small and Medium Businesses, startups, and growing companies) in the Israeli market. Your primary focus will be selling Salesforce solutions, rapid implementation services (Professional Services), and tailored support and optimization packages (Managed Services).

The ideal candidate has a proven track record in high-velocity sales with short sales cycles, the ability to quickly diagnose business needs, communicate effectively with C-level executives and founders of growing companies, and consistently close deals at a high tempo.



Key Responsibilities (Summary of Experience)

End-to-End SMB Sales Ownership: Lead high-velocity sales cycles from initial discovery (Inbound/Outbound) through quick scoping, value proposition crafting, negotiation, and closing.
C-Level & Founder Advisory: Engage with CEOs, VPs of Sales, Marketing, and Operations within SMBs, effectively demonstrating how Salesforce can accelerate their business growth.
Tailoring Agile PS & MS Solutions: Drive revenue by selling focused, quick-win implementation projects (Professional Services) alongside scalable Managed Services packages that allow businesses to grow with the platform.
High-Volume Pipeline Management: Strategically manage a high volume of concurrent opportunities, maintaining high conversion rates, speed-to-market, and responsiveness.
Account Expansion: Monitor existing SMB accounts to identify triggers and signals for up-sell and cross-sell opportunities as their businesses scale.

We are looking for a talented and experienced Mid-Level Data Engineer with a passion for data and cloud technologies to join our team. In this role, you will be a key player in designing, developing, and maintaining our AWS and Databricks-based data platform. You will bridge the gap between robust Data Engineering, Database Administration (DBA), and high-performance Analytics Engineering.

The ideal candidate understands the Lakehouse architecture, has experience managing modern cloud data warehouses like Snowflake, and possesses the ability to build scalable ETL pipelines that drive data-driven business decisions.

Key Responsibilities

End-to-End Pipelines: Develop and maintain complex ETL/ELT pipelines using Python/PySpark on the Databricks platform, as well as loading and transforming data within Snowflake.
Data Architecture: Implement and manage data layers following the Medallion architecture (Bronze, Silver, Gold) using Delta Lake.
Optimization & Analytics: Set up and manage Databricks SQL Warehouses, perform query optimization, and utilize internal visualizations for rapid data exploration.
Cloud Infrastructure: Leverage AWS cloud services to manage data storage, compute resources, and secure data movement.
DBA & Performance Tuning: Act as a custodian for our data platform-managing indexing, clustering, vacuuming, and performance tuning across both Delta Lake and relational/warehouse environments to ensure cost-efficiency and high speed.
Data Modeling: Design data models (Star Schema / Snowflake) in the Gold layer to ensure optimal performance for BI tools (e.g., Power BI, Tableau).
Data Governance: Manage metadata, permissions, and lineage using Unity Catalog and platform-specific access controls.
Quality Control: Implement automated Data Quality tests as an integral part of the CI/CD data pipelines.

As a Cloud DevOps Engineer, you will be responsible for setting up, maintaining, and evolving the AWS cloud architecture, as well as for supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers .

Responsibilities

Assist in creating a tailor-made architecture.
Deployment of advanced services on the cloud.
Implement automation solutions.
Maintain a feedback loop with the companys customers to ensure deliveries are in accordance with the customers needs and expectations.
Debug, troubleshoot and fix technical issues.
Setup large-scale monitoring and logging solutions.