Data Platform Architect, Snowflake

🕒 il y a 3 mois

🐊 Florida, Kentucky, +1 états de plus – Distant

🐊 Florida – Remote 🐎 Kentucky – Remote ⚔️ Virginia – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🔙 Ingénieur Back-end

👻 Score fantôme 51%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Coastal

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2012

💼 Conseil

☁️ SaaS

🤖 Intelligence artificielle

💰 Series unknown en 2020-07

Consulting • SaaS • Artificial Intelligence

Coastal est un cabinet de conseil en services professionnels qui aide les organisations à transformer Salesforce, Snowflake, les données et l'IA en résultats commerciaux mesurables. Coastal met l'accent sur des engagements orientés vers les résultats, des équipes de livraison inter-cloud maîtrisant le contexte sectoriel, des accélérateurs pilotés par l'IA pour réduire les délais, et une évolution continue après la mise en ligne pour augmenter la valeur. Soutenu par Tata Consultancy Services et très bien noté par les clients et partenaires, Coastal se concentre sur l'intégration cloud, les implémentations CRM/Salesforce, les travaux sur les plateformes de données et d'IA, et la livraison spécifique au secteur pour des domaines comme le secteur public, les télécommunications, les organisations à but non lucratif, la fabrication et la haute technologie.

Description

• Develop and implement data architectures aligned with business needs using Snowflake for data warehousing, data lakes, and data engineering • Design and implement data solutions for BI, ETL, and AI/ML • Assist with migrating data from legacy systems to Snowflake • Ensure data accessibility, security, and regulatory and industry-standard compliance • Design and implement Snowflake data pipelines for ingestion, transformation, and loading from various sources • Design and implement Snowflake data models considering relationships, data types, and storage requirements • Monitor and optimize query performance, data ingestion, and transformation processes • Collaborate with business users, data engineers, data scientists, and IT teams to understand requirements and deliver solutions • Evaluate and select tools and technologies for data integration, transformation, and analytics within the Snowflake ecosystem • Provide technical leadership and guidance to data engineering and data analytics teams • Own overall technical solution design and recommend best-practice solutions based on client needs • Facilitate discovery sessions and translate findings into documented technical requirements and solution designs • Provide technical guidance for Salesforce.com and other SaaS applications supporting business and product strategies • Lead strategy and digital roadmap projects in complex business environments • Shift clients to alternative solutions when initial solutions are not a fit

🎯 Exigences

• 5+ years of experience in solutions architecture or technical consulting for cloud data platforms with multiple workstreams • Deep understanding of Snowflake architecture and capabilities • Knowledge of data modernization methods and practices • Strong expertise in dbt • Experience with large-scale databases, data warehousing, Snowflake or Databricks, ETL, analytics, cloud technologies, data engineering, and data science • Strong verbal and presentation abilities for communicating with clients and prospective clients at all organizational levels • Ability to articulate the relationship between data and Customer Relationship Management (Customer360) • Demonstrable ability to shift clients to alternative solutions, with supporting examples • Demonstrable experience leading strategy and digital roadmap projects in complex business environments • Experience with data warehouses, data lakes, cloud technology, business intelligence, and CRM products • Experience with JavaScript, Python, and SQL, or Salesforce App Development with LWCs, Apex, and Flow • Deep understanding of architecture patterns and API management, including real-time streaming • Knowledge of dimensional data modeling, including Bronze, Silver, Gold, Kimball, or related methods • Must have full-time permanent US work authorization • Bachelor’s Degree preferred, or equivalent experience • Implementation or sales experience in Salesforce Data Cloud • Hands-on experience with Salesforce CRM technology, including Sales Cloud, Service Cloud, or Industry Clouds • Hands-on experience with AI/ML solutions such as Einstein, SageMaker, and Vertex; solid understanding of generative AI • Hands-on experience designing data solutions on AWS, Microsoft Azure, or Google Cloud Platform • Hands-on expertise with analytics tools such as Tableau, Power BI, or Looker • Experience may be evaluated based on alignment with core competencies, including extracurricular leadership, military experience, or volunteer work

🏖️ Avantages

• Flexible working hours with an emphasis on a life-work balance • Remote flexible work • Unlimited Paid Time Off (RTO) • 401K with Company Match • Medical, Vision, & Dental coverage • Competitive quarterly bonus opportunities • Continuing education and certification reimbursements, specifically within the Salesforce and Snowflake ecosystems • Occasional in-house competitions with spot bonuses • Flexible and fun team culture • Frequent team and culture activities, virtual & in-person, including Lunch and Learns, Happy Hours, team-building events • Monthly All-Hands calls • Open-door leadership policy with access to mentorship and guidance • Opportunities for accelerated growth, networking, and career guidance and support • Trust, transparency and respect across all levels of the company

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