Role Description Für ein langfristiges Projekt bei unserem Kunden im Raum Solothurn (mit Remote-Anteil), suchen wir einen Professional Data Scientist / DevSecOps Engineer (m/w/d) - Data Engineering / Azure Synapse / ETL / Cloud DWH. - Zusammenarbeit mit fachlichen Anforderern zur Erarbeitung von Lösungen, bei denen Wirkung und Nutzen im Vordergrund stehen - Entwicklung und Bereitstellung von Datengrundlagen für fachliche Entscheidungsträger - Weiterentwicklung und Pflege von DataMarts, Datalakes und Cloud-DWH sowie die Sicherstellung der Datenqualität - Aufbau und Betrieb eines Digital Twin Produktes mit Near Real Time Daten und Stream Processing Funktionalitäten - Design und Entwicklung von automatisierten, skalierbaren Datapipelines sowie Integrations- und Bereitstellungsworkflows in ETL-Prozessen und deren Dokumentation - Ausbau und Betrieb der Monitoring-Lösung der Datapipelines und ETL-Prozesse Qualifications - Mehrjährige Berufserfahrung im Bereich Data Engineering / Datenmodellierung (Synapse, Azure Pipelines, Matillion, ADX) und Cloud-basierten Systemen - Fundierte methodische Kenntnisse und praktische Erfahrung in der Entwicklung von Datenintegrationsprozessen und Data Warehouse Lösungen - Routinierter Umgang mit SQL und Datenmodellierung - Selbstständige, lösungsorientierte Arbeitsweise mit hohem Qualitätsanspruch - Leidenschaft für Daten und Analyse - Verhandlungssicheres Deutsch (mündlich und schriftlich) und Kenntnisse in Englisch Requirements - Praktische Erfahrung mit Cloud-Ökosystemen, idealerweise mit Microsoft Azure und Infrastructure as Code - Erfahrung im Erstellen von Analysen und Visualisierung von Daten in Python (und PowerBI) - Erfahrung in Azure Functions und agiler Arbeitsweise wie zum Beispiel Scrum oder SAFe - Sicherer Umgang mit Jira und Confluence Benefits - Einsatzzeitraum 01.06.2026 - 31.12.2026 mit Option auf Verlängerung - Pensum 80-100% - Einsatzort Raum Solothurn mit Remote-Anteil - pro Woche

Role Description The Senior Director, Data Engineering is one of the most strategic, high-pressure, and mission-critical roles at phData. If you're seeking a position that challenges your technical expertise, business acumen, and leadership abilities daily—this is it. In this role, you will function as a CTO-like advisor for phData’s most strategic customers. You will: - Lead customer success - Direct technical strategy - Drive delivery excellence - Serve as a key stakeholder in growing long-term partnerships and revenue This position requires a unique blend of hands-on architecture skills, executive presence, client empathy, and entrepreneurial drive. If you thrive in highly visible, fast-paced roles where the expectations are high and the impact is massive, this is the career-defining opportunity you’ve been looking for. Your Impact - Client Strategy & Technical Leadership - Serve as the executive-level technical leader and primary advisor for strategic customer accounts - Act as a CTO for your accounts, guiding technology decisions, roadmaps, architecture, and platform maturity - Build deep relationships with technical and business stakeholders, driving consensus on solutions - Lead Quarterly Business Reviews (QBRs), Innovation Days, roadmap presentations, and architectural vision sessions - Deliver clear recommendations, success criteria, and measurement frameworks for each engagement - Step into complex or ambiguous problem spaces and provide clarity, direction, and momentum - Account Expansion & Sales Partnership - Collaborate closely with Account Executives to create and execute growth strategies - Identify new opportunities for phData services and lead scoping, pricing, and proposal development - Influence buying centers, build executive relationships, and create value-based narratives for expansion - Deeply understand customer needs and industry trends, positioning phData offerings accordingly - Drive strategic alignment between the customer, partners (e.g., Snowflake), and internal teams - Develop and execute multi-year technology roadmaps aligned to client business outcomes - Delivery Oversight & Quality Assurance - Own delivery success and overall satisfaction across all projects within assigned accounts - Ensure delivery quality through mentorship, leadership, and hands-on involvement as needed - Provide architectural oversight, escalation management, and alignment across teams - Build technical documentation, vision statements, solution architectures, and proofs of concept - Drive accountability across internal and client teams through strategic, candid communication - Lead enablement and education of delivery teams through documentation, onboarding support, and cross-training sessions - People Development & Thought Leadership - Mentor technical consultants and engineers across the delivery organization - Build and grow technical and communication skills across teams to elevate delivery maturity - Identify and share delivery patterns that drive scalable, repeatable customer success - Actively contribute to phData internal initiatives and communities of practice - Internal Leadership & Collaboration - Lead client resource planning, forecasting, and skills alignment in partnership with Recruiting and Resourcing - Track KPIs and metrics across engagements to measure and communicate business outcomes - Contribute to internal knowledge sharing and play a key role in Practice Lead strategy discussions - Collaborate with partner technology teams and keep the broader account team aligned and informed - Participate in key leadership, sales, and delivery syncs to ensure alignment across functions Qualifications - 10+ years of hands-on experience delivering complex data or AI/ML platforms in production environments - 3+ years in a consulting leadership role with direct client ownership and revenue accountability - Deep technical expertise in cloud platforms (Snowflake, AWS, Azure, GCP), modern data stacks, and MLOps tools - Proven success growing enterprise accounts and building executive-level relationships - Strong architectural and implementation skills in Python, SQL, dbt, and modern infrastructure tooling - Excellent communication and negotiation skills with a strong sense of presence and clarity under pressure - Willingness to travel for customer meetings, QBRs, and key events when necessary Preferred Qualifications - Advanced degree in a technical, data, or business-related discipline - Experience leading delivery within a scaled services or consulting firm - Proficiency in partner ecosystem collaboration (especially Snowflake, AWS, dbt) - Hands-on experience with containerization (Docker, Kubernetes) and cloud-native AI/ML tools - Demonstrated thought leadership (e.g., blogs, speaking, open source) is a plus Benefits - Remote-First Work Environment - Casual, award-winning small-business work environment - Collaborative culture that prizes autonomy, creativity, and transparency - Competitive compensation, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks) - Accelerated learning and professional development through advanced training and certification Company Description phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer.

• Diseñar, desarrollar y mantener pipelines de datos escalables y eficientes. • Orquestar workflows complejos con Airflow u otras herramientas similares. • Gestionar y optimizar consultas en SQL avanzado y Snowflake. • Colaborar con equipos de negocio, analytics y producto. • Garantizar la calidad, consistencia y disponibilidad del dato. • Adaptar soluciones de datos a distintos países de LATAM.

• Review and refine AI-generated content focused on data modeling, storage solutions, data governance, and system integration • Assess the accuracy, clarity, and technical soundness of AI outputs related to data architecture and management • Design and enhance realistic data architecture scenarios and case studies • Generate scenario variations from perspectives such as data architects, engineers, and analysts • Identify potential improvements or risks in AI-driven data solutions • Collaborate on developing AI-powered tools for data analysis, modeling, and reporting