MediaRadar, Inc.

Data Engineer

• Involve in Design, development, and maintenance of scalable ETL/ELT pipelines on Azure Databricks using Apache Spark (PySpark/Spark SQL).
• Design and implement both batch and real-time data ingestion and transformation processes.
• Build and manage Delta Lake tables, schemas, and data models to support efficient querying and analytics.
• Consolidate and process large-scale datasets from various structured and semi-structured sources (e.g., JSON, Parquet, Avro).
• Write optimized SQL queries for large datasets using Spark SQL and PostgreSQL.
• Develop, schedule, and monitor workflows using Databricks Workflows, Airflow or similar orchestration tools.
• Design, build, and deploy cloud-native, containerized applications on Azure Kubernetes Service (AKS) and integrate with Azure services.
• Ensure data quality, governance, and compliance through validation, documentation, and secure practices.
• Collaborate with data analysts, data architects, and business stakeholders to translate requirements into technical solutions.
• Contribute to and enforce best practices in data engineering, including version control (Git), CI/CD pipelines, and coding standards.
• Continuously enhance data systems for improved performance, reliability, and scalability.
• Mentor junior engineers and help evolve team practices and documentation.
• Stay up to date on emerging trends, technologies, and best practices in the data engineering space.
• Work effectively within an agile, cross-functional project team.

Business Intelligence Analyst

• Sales & Pipeline Reporting: Generate and maintain sales performance dashboards, pipeline tracking, and renewal forecasting reports.
• Data Audits & Cleanups: Identify and correct bad data, perform CRM data quality audits, and ensure the accuracy of key sales metrics.
• CRM Data Management: Perform backfilling of missing data, match records between systems, and ensure consistency across platforms.
• Cross-System Data Matching: Reconcile and align data across Salesforce and integrated systems to maintain a unified source of truth.
• Ad-Hoc Analysis & Reporting: Provide insights and reporting support for revenue operations, sales strategy, and leadership teams.

Reporting Analyst

Risk

• Lead the design and governance of an enterprise taxonomy and data rule framework, including business terms, entities, products, and classification hierarchies that support consistent data use.
• Translate business needs into clear, objective, and measurable data and quality rules that can be implemented, tested, and monitored.
• Develop governance frameworks that connect taxonomy → business rules → data quality standards → measurable outcomes.
• Partner with data engineering, analytics, and product teams to embed governance requirements into data pipelines, tooling, and workflows.
• Establish standards for rule authoring, validation, conflict detection, and lifecycle management.
• Drive clarity and consistency in definitions, metadata, and documentation across domains.
• Support the creation of data quality metrics, thresholds, and reporting aligned to business use cases.
• Coach and enable data owners, stewards, analysts, and associates to apply governance standards confidently and consistently.
• Contribute to governance operating models, playbooks, and training materials designed for both technical and non-technical audiences.
• Act as a thought partner on governance best practices, tooling needs, and maturity progression.

Senior Data Governance Lead

Sales

• Achieve or exceed annual sales targets and account objectives.
• Demonstrate a strong understanding of how to navigate complex organizations, differentiate LOB stakeholder needs, and think strategically about how to build a comprehensive sales strategy to sell across large enterprise accounts.
• Develop and execute strategic territory plans to expand the customer base.
• Prospect and nurture pipeline within assigned accounts and territory, encompassing both new and existing clients.
• Foster enduring customer relationships, partnering with clients to understand their business needs and objectives.
• Effectively communicate the value proposition through compelling proposals and presentations.
• Stay abreast of category-specific landscapes and trends.
• Present and influence stakeholders at all levels, including executive and C-suite levels.
• Drive the sales process from planning to closure, articulating the unique aspects of our products and services, and positioning them against competitors.

Enterprise Sales Director

General Counsel

• Draft, review, and negotiate a wide range of contracts including SaaS agreements, master service agreements, partnership contracts, vendor agreements, and other commercial contracts.
• Help maintain and improve contract templates, including improving commercial contracting playbooks and workflows.
• Draft and review privacy-related documents such as data processing agreements, privacy policies, terms of use and risk assessments.
• Assist in integrating AI tools into legal workflows (e.g., contract review automation).
• Advise on compliance with domestic and international privacy laws including GDPR, CCPA and other data protection frameworks. Current expertise in these areas, or desire to quickly gain expertise.
• Draft and maintain internal policies and contractual language governing the use of Generative AI and third-party AI tools, focusing on the protection of company IP and the prevention of unauthorized data leakage.
• Assist in managing the contract lifecycle process including by optimizing the use of contract management tools.
• Support corporate transactions including due diligence and post-closing integration.
• Manage ad hoc legal projects and support broader legal team initiatives.
• Partner with business stakeholders to proactively identify legal risks and implement solutions.

Data Engineer

Reporting Analyst

Senior Data Governance Lead

Enterprise Sales Director

Senior Corporate Counsel