• Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex • Collaborate directly with customers to understand business goals, data challenges, and technical requirements; translate them into robust architectural blueprints and actionable plans • Design and implement data pipelines supporting both real-time and batch ingestion using modern orchestration and streaming frameworks • Establish and enforce best practices for data cataloging, metadata management, lineage, and data quality across multiple systems • Define and implement data security, access control, and governance models in compliance with enterprise and regulatory standards • Serve as the technical lead for project teams - mentoring engineers, reviewing solutions, and ensuring architectural consistency across deliverables • Balance strategic architecture discussions with hands-on solutioning, POCs, and deep dives into data pipelines or performance tuning • Partner with stakeholders, cloud architects, and delivery leads to drive solution adoption, scalability, and long-term maintainability • Represent the company as a trusted technical advisor in client engagements - clearly articulating trade-offs, best practices, and recommendations

Role Description We are looking for a GDPR Data Protection Officer to ensure our company is compliant with the General Data Protection Regulation. The DPO will report to our senior management. Responsibilities include: - Advising on our compliance with GDPR and local data protection laws - Monitoring our adherence to GDPR standards - Acting as a point of contact with supervisory authorities and data subjects - Creating policies that enforce compliance with legislation - Delivering GDPR training to our staff to increase awareness of data protection measures - Facilitating GDPR compliance through transparent data protection policies, systems, and procedures Qualifications - In-depth knowledge of GDPR and local data protection laws - Familiarity with our industry and the nature of its data processing activities - Ability to perform audits of our current procedures Requirements - Experience in data protection and legal compliance - Work experience in data protection and legal compliance is a plus - Solid knowledge of GDPR and national data protection laws - Knowledge of data processing operations in the company’s sector is preferable - Familiarity with computer security systems - Ability to handle confidential information - Ethical, with the ability to remain impartial and report all noncompliance - Organizational skills with attention to detail Benefits - Opportunity to be your own boss by choosing tasks that suit your schedule - Ability to book tasks within a 15-mile radius - Enhanced technology for scheduling, invoicing, and credit card processing - Health and well-being of clients and providers are prioritized Company Description Instasks App is a Professional Concierge Service. The app provides top-tiered professionals and clients with an online platform. Our unique approach to building an App is to give the client and the provider instant bookings and an easy process for all services. - Providers receive custom requests for their specialized skills - The app takes care of all invoicing between client and provider - We track providers' locations for the client's en route to any job - Our mission is to help all providers strive to achieve their financial and independent goals - We created a portal platform to guide you in listing your professions - Clients can give providers reviews and star ratings

Role Description We're hiring a reliable and detail-driven Flexible Data Entry Specialist to support our health records and administrative team on your own schedule. If you're accurate, self-motivated, and looking for flexible work — this opportunity is for you. - Enter and update patient and medical data accurately into our systems - Review and verify records for completeness, accuracy, and consistency - Organize and manage digital files and health records databases - Cross-check source documents to ensure data integrity - Communicate with internal teams to resolve any data discrepancies - Meet assigned data entry targets within flexible deadlines - Handle all patient information with strict confidentiality per HIPAA guidelines Benefits - Competitive pay - Flexible scheduling — work on your own time - Health, dental & vision benefits (full-time employees) - Paid time off & paid holidays - No micromanagement — results-driven environment - Growth opportunities within ADF Medical Services Company Description

• Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks. • Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows. • Design and manage a unified GTM data lake, merging raw and enriched datasets into a single source of truth for segmentation, ICP scoring, and territory assignments. • Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting. • Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration. • Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets. • Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools. • Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes. • Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.