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Performs manual and automated data quality testing across database and analytics platforms. Designs test plans, automation scripts, SQL validations, and reconciliation checks for data pipelines, migrations, batch jobs, and reporting outputs. Documents and tracks defects, validates Druid analytics, coordinates testing activities, and collaborates with data engineering, development, business, and offshore QA teams.

Prospect and qualify small-business sales leads, conduct phone and Zoom demonstrations, identify customer needs, position platform solutions, develop referral relationships, close deals, process sales agreements, and report on sales performance. The role focuses on selling a subscription-based payments and analytics platform to retail and hospitality operators.

Leads enterprise data engineering, database operations, pipeline architecture, data governance, security, compliance, and AI data foundations. Manages data engineers and database administrators, oversees cloud-native platforms including Databricks, Kafka, PostgreSQL, MongoDB, and Druid, and chairs the Data Governance Council. Establishes data quality, lineage, access control, security, regulatory, and data contract practices while partnering with executive, legal, compliance, infrastructure, and product stakeholders.

Generate and qualify inbound and outbound leads through email, phone, LinkedIn, and other channels. Assess prospect fit, schedule meetings and demos for Account Executives, maintain accurate CRM records, meet lead and meeting quotas, and collaborate with Marketing, Product, and Sales teams to improve messaging and share customer insights.

Sell and upgrade subscription-based services to small and midsize business retailers through lead prospecting, qualification, phone and virtual demos, consultative discovery, relationship management, negotiation, and deal closing. The role also processes sales agreements, develops referral partnerships, participates in marketing programs, and maintains pipeline and performance reporting. It requires at least two years of B2B sales experience, CRM proficiency, strong communication, objection handling, and quota-driven performance.

Designs, builds, and maintains enterprise data APIs using .NET; architects scalable API and database solutions; integrates MongoDB, PostgreSQL, MySQL, OpenSearch, and Kafka; documents APIs with OpenAPI; supports API catalog and developer portal initiatives; advances AI-assisted development; troubleshoots production systems with Grafana; remediates vulnerabilities using SAST, DAST, and OWASP practices; and coordinates requirements, estimates, and delivery planning across teams.

Design and build end-to-end data pipelines and integrations on Databricks, implement medallion architectures, develop streaming and NiFi pipelines, integrate purpose-built stores, operationalize ML/MLOps (training, deployment, monitoring), and explore LLM/RAG generative AI solutions while enforcing data governance, security, and performance for large-scale analytics.

Supports analytics and data platform initiatives through simple data transformations, reports, data pipelines, data validation, and documentation. Collaborates with engineers and analysts to improve data quality and enable reliable, scalable data solutions. Requires basic SQL and Python, introductory Azure Data Lake and Databricks knowledge, basic visualization skills, and an understanding of financial data and transaction processing.

Lead design and implementation of security architectures, drive incident response and risk management, manage SOC1/2 compliance and third-party risk requests, mentor engineers, integrate AI tools to improve security operations, and coordinate cross-functional security initiatives.

Drive new business by prospecting, qualifying, and closing accounts. Manage full sales cycle, maintain CRM pipeline, conduct demos and presentations, collaborate with internal teams for onboarding, and provide market feedback. Responsible for meeting quarterly and annual new customer acquisition and revenue goals.