Data Platform Architect – Data 360

🔥 0 minutes ago

🐊 Florida, Kentucky, +1 more states – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

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Logo of Coastal

Coastal

501 - 1000 employees

Founded 2012

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

💰 Series unknown on 2020-07

Consulting • SaaS • Artificial Intelligence

Coastal is a professional services consultancy that helps organizations turn Salesforce, Snowflake, data, and AI into measurable business outcomes. Coastal emphasizes outcome-first engagements, cross-cloud delivery teams fluent in industry context, AI-driven accelerators to shorten timelines, and ongoing post-go-live evolution to compound value. Backed by Tata Consultancy Services and highly rated by customers and partners, Coastal focuses on cloud integration, CRM/Salesforce implementations, data & AI platform work, and industry-specific delivery for sectors like public sector, telecom, nonprofit, manufacturing, and high tech.

📋 Description

• Own the overall design of technical solutions • Recommend best-practice solutions based on client needs • Provide technical guidance to Salesforce.com and other SaaS application development • Maximize the Salesforce Data 360 ecosystem • Facilitate discovery sessions to understand client processes and challenges • Translate findings into technical requirements and documented solution designs • Develop and implement data architectures for unified profile management, data democratization, and real-time activation • Design and implement integrations between enterprise cloud data platforms and Salesforce • Assist with migration, ingestion, and mapping of customer data from legacy systems into Salesforce D360 • Ensure data accessibility, privacy, granular security controls, and regulatory compliance • Design and implement real-time streaming and batch data pipelines • Define identity resolution rules, reconciliation rules, and unified data graphs • Monitor and optimize query performance, calculated insights, identity resolution runs, and data transformation processes • Collaborate with business users, data engineers, data scientists, and CRM IT teams • Evaluate tools, connectors, and zero-copy/Zero-Data-Movement technologies • Provide architectural oversight and best-practice guidance to data engineering and CRM development teams

🎯 Requirements

• 5+ years of experience in solutions architecture or technical consulting for cloud data platforms with multiple enterprise workstreams • Expert knowledge of Salesforce D360 (Data Cloud) architecture and capabilities, including DMOs, DSOs, identity resolution, data spaces, calculated insights, and activation targets • Experience with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation • Comprehensive experience with enterprise database technology, cloud data warehouses such as Snowflake and Databricks, ETL/ELT tools, data engineering pipelines, and data science principles • Strong verbal and presentation abilities for communicating complex data architecture concepts • Demonstrable experience leading strategy and digital roadmap projects in a complex business environment • Proven ability to guide clients toward optimal standard solutions • Experience with SQL and Python • Experience with Salesforce development components including Apex, Flow, LWCs, and MuleSoft • Deep understanding of enterprise architecture patterns, API management, and real-time data streaming technologies such as Kafka and Amazon Kinesis • Mastery of data modeling methodologies such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures • Must have full-time permanent US work authorization • Bachelor’s Degree preferred, or equivalent experience • Salesforce Certified Data Cloud Consultant or Accredited Professional designations preferred • Experience with Salesforce CRM technology, including Sales Cloud, Service Cloud, or Industry Clouds • Experience deploying AI/ML solutions such as Salesforce Einstein, AWS Sagemaker, or Google Vertex AI • Understanding of Generative AI patterns such as Retrieval-Augmented Generation / RAG • Experience designing data architectures on AWS, Azure, or Google Cloud Platform • Experience with Tableau, CRM Analytics, PowerBI, or Looker • Open to travel based on client and business demands

🏖️ Benefits

• Flexible working hours with an emphasis on a life-work balance (in that order!) • 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 • A 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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