Data Architect, hybrid | 1067223

Revel IT

Columbus (OH)

Hybride

USD 130 000 - 170 000

Plein temps

Il y a 5 jours
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Résumé du poste

Revel IT in Columbus, OH is seeking a Data Architect to serve as the senior technical authority for client data. You will model, govern, and deliver data across Membership, Marketing, Education, and Sales on a modern data platform built on Snowflake, dbt, Airflow, Iceberg, and AWS.

This hands-on, delivery-oriented role partners with engineering, analytics, and executive stakeholders, responsible for guiding migrations and delivering governed data products across the business.

Qualifications

  • 8+ years of progressive experience in data architecture, data engineering, or solutions architecture.
  • 3+ years as the architect of record for a modern cloud data platform.
  • Deep hands-on experience with Snowflake in production: data modeling, RBAC, performance tuning, and cost management.
  • Production experience with dbt for transformation-layer design, testing, and documentation.
  • Production experience with Apache Airflow for orchestration at scale.

Responsabilités

  • Own the conceptual, logical, and physical data models for client data: members, customers, organizations, memberships, orders, subscriptions, events, learning, and engagement.
  • Design a unified Member/Customer 360 model with entity resolution and deduplication across multiple systems.
  • Extend the model for organizational and institutional accounts as the client expands from B2C into B2B.
  • Set modeling standards for each medallion layer and review designs from the engineering team.
  • Lead the data governance, performance, and cost management efforts on Snowflake environments.

Connaissances

Snowflake
dbt
Airflow
AWS
Data modeling
SQL
Python
Customer 360
CRM data

Formation

Bachelor's degree

Outils

Snowflake
dbt
Airflow
Iceberg
AWS
Snowflake Polaris
AWS Glue

Description du poste

  • 3+ years as the architect for a modern cloud data platform
  • 8+ years' progressive experience
  • 3+ years as the architect for a modern cloud data platform
OUR GOAL

Treat our consultants and clients the way we would like others to treat us!

The Data Architect in this contract-to-hire role is the senior technical authority for client data. The Architect designs how membership, marketing, and sales data is modeled, integrated, governed, and delivered on the Data Store, a modern data platform built on Snowflake, dbt, Airflow, Apache Iceberg, and AWS. The role turns the DS&E Data Strategy into working architecture: governed data products the business can use on its own, an AI-ready foundation, and a clean data path through the migration of the membership platform from netFORUM to Salesforce. This is a hands-on, delivery-oriented role that partners closely with engineering, analytics, Membership, Marketing, Education, Scientific Research and executive stakeholders across the client.

Needs to be local as the position sits in their Columbus office. Also requires being onsite 2 days a week (Tuesday & Wednesday)

Top skills
  • Snowflake (must have)
  • dbt
  • Apache Airflow
  • AWS
DS&E Data Strategy: What This Role Delivers
Three Strategic Pillars
  • Self-sufficient: business teams find and use trusted data and metrics without waiting on engineering
  • Governed data products: certified, documented, owned Gold-layer data products with clear definitions and quality checks
  • AI-ready: a semantic layer, ontology, and clean entity data that make AI and machine learning use cases dependable
12-Month Roadmap
  • Months 0-3: establish data governance (ownership, definitions, stewardship, access policies) in parallel with the Snowflake platform implementation
  • Platform path (phased hybrid): finish the current PostgreSQL migration, freeze new PostgreSQL builds, and stand up Snowflake in parallel, starting with a 60-day Snowflake proof-of-value on the Salesforce source
  • Across the year: scale the medallion platform across sources and deliver priority data products to the business
Business Outcomes the Architecture Must Enable
  • DS&E-Membership partnership aligned with the membership management system (MMS) modernization from netFORUM to Salesforce
  • Insights Hub: centralized, trusted KPI reporting for business-unit leaders
  • Predictive retention: churn triggers driven by the Member Engagement Score
  • Hyper-personalization for early-career members across marketing channels
Key Responsibilities
Data Architecture & Modeling
  • Own the conceptual, logical, and physical data models for client data: members, customers, organizations, memberships, orders, subscriptions, events, learning, and engagement
  • Design a unified Member/Customer 360 model, with entity resolution and deduplication that produce one trusted record across Membership, Marketing, Education, Scientific Research and commerce systems
  • Extend the model for organizational and institutional accounts as the client expands from B2C into B2B selling
  • Set modeling standards for each medallion layer (naming, keys, history and slowly changing dimensions, conformed dimensions) and review designs from the engineering team
Core Data Platform: Snowflake, Iceberg & AWS
  • Own the SDS medallion architecture: Bronze as Parquet on Amazon S3, Silver as Apache Iceberg tables, and Gold as native Snowflake, using External, Iceberg, and Dynamic Tables where each fits
  • Implement Snowflake Open Catalog (Polaris) as the near-term catalog for Iceberg metadata, with AWS Glue Data Catalog where needed
  • Design Snowflake environments (dev, stage, prod), role hierarchy, RBAC, and AWS IAM Identity Center access patterns
  • Own Snowflake performance and cost: warehouse sizing, resource monitors, clustering, query tuning, and credit reporting
  • Lead the 60-day Snowflake proof-of-value on the Salesforce source and turn the results into reusable patterns for every other source
Pipelines & Transformation: Airflow, dbt & Talend
  • Architect orchestration on Apache Airflow running on AWS ECS Fargate, with clear standards for DAG design, dependencies, retries, alerting, and SLAs
  • Architect the dbt transformation layer that turns Silver data into Gold data products, with testing, documentation, lineage, and CI/CD through Git
  • Govern the ingestion framework, standardized on Talend, across 16+ source systems, and decide when Snowflake-native options (Snowpipe, Streams, Tasks) or Airbyte are the better fit
Membership, Marketing & Scientific Research Data
  • Serve as the domain expert for source systems: netFORUM (SQL Server), Salesforce, CDS, eRights/SSD (PostgreSQL), Adobe Commerce (Magento), C&EN, Docebo, Moodle, MAPS, GoToWebinar, LinkedIn Learning, and file-based feeds
  • Integrate marketing applications, including Eloqua, HubSpot and CDP, so campaign, engagement, and audience data connects to member records and flows back out for activation
  • Integrate sales applications, including Salesforce, Adobe Commerce and contract and order systems, to support pipeline, quoting, revenue, and account reporting
  • Re-platform integrations that feed netFORUM today, including Adobe Commerce organization and order data that flows through MuleSoft
netFORUM-to-Salesforce Migration
  • Act as data lead for the membership platform migration: source-to-target mapping, data profiling and cleansing, migration sequencing, reconciliation, and cutover validation
  • Design zero-ETL / zero-copy integration between Salesforce and Snowflake so Salesforce data reaches the SDS without custom pipelines
  • Keep reporting and data products running through the transition by supporting netFORUM and Salesforce in parallel, then retiring netFORUM feeds cleanly
Data Governance & Quality
  • Help stand up the DS&E data governance program in its first three months: data ownership, stewardship, business definitions, access policies, and certification of data products
  • Implement governance in the platform with Snowflake Horizon (tagging, masking, row access, lineage) and an active metadata layer (Atlan, under evaluation)
  • Define data quality rules and monitoring for critical member, customer, and revenue data
Data Products, AI & Analytics Enablement
  • Design Gold-layer data products for the Member Engagement Score, churn and retention models, early-career personalization, and the COO leadership KPIs
  • Build NL-to-SQL self-serve metric surfaces with Snowflake Cortex Analyst and a governed semantic/metric layer
  • Design the AI-ready knowledge core: ontology layer (OWL/SKOS), Graph RAG search patterns, and ML use cases (churn, propensity, LTV) on Gold data
Stakeholder Solutions & Delivery
  • Serve as the senior technical advisor to Membership, Marketing, Scientific Advancement, Awards & Fellows, and the COO office
  • Produce architecture decision records (ADRs), solution designs, data mapping specifications, and roadmap artifacts for DS&E and CTO-level audiences
  • Guide Analytical Engineers, Data Management Engineers, and onshore and offshore data engineers on standards and data product delivery
  • Lead technology evaluations and recommend options that fit client data strategy and budget
Required Tech Stack
Core Platform (Must Have)

Snowflake · dbt · Apache Airflow · Apache Iceberg · AWS (S3, ECS Fargate, Glue, IAM Identity Center, RDS PostgreSQL)

Catalogs & Governance

Snowflake Open Catalog (Polaris) · Snowflake Horizon · AWS Glue Data Catalog · Atlan (under evaluation)

Ingestion & Integration

Talend · Snowpipe · Streams & Tasks · Airbyte · MuleSoft · Salesforce-Snowflake zero-copy

Membership, Marketing & Sales Applications

netFORUM · Salesforce · Eloqua · BlueConic CDP · Adobe Commerce (Magento) · Docebo · Moodle

AI / Knowledge Layer

Snowflake Cortex Analyst · Cortex AI functions · Amazon Neptune (RDF) · OWL / SKOS ontology · Graph RAG · Entity resolution

Languages & Developer Tools

SQL · Python · Git · GitHub Copilot · VS Code

Qualifications
Required
  • 8+ years of progressive experience in data architecture, data engineering, or solutions architecture, including 3+ years as the architect of record for a modern cloud data platform
  • Deep hands‑on experience with Snowflake in production: data modeling, RBAC, performance tuning, and cost management
  • Production experience with dbt for transformation‑layer design, testing, and documentation
  • Production experience with Apache Airflow for orchestration at scale
  • Experience designing and operating Apache Iceberg‑based lakehouses on AWS (S3, Glue, IAM, container compute)
  • Strong data modeling skills (dimensional, normalized, and entity‑centric) and experience building a Customer or Member 360
  • Experience with membership, association, or subscription data, and with marketing and sales application data (marketing automation, CDP, CRM, e‑commerce)
  • Hands‑on experience with a CRM or membership‑system migration, including data mapping, cleansing, reconciliation, and cutover; netFORUM‑to‑Salesforce strongly preferred
  • Strong SQL and Python skills with a Git‑based, code‑first development workflow
  • Proven ability to explain architecture and trade‑offs to non‑technical executives and business stakeholders
  • Bachelor's degree in computer science, engineering, information systems, or equivalent practical experience
Preferred
  • SnowPro Advanced: Architect or SnowPro Advanced: Data Engineer; dbt Analytics Engineering certification
  • Experience with Eloqua, HubSpot, BlueConic or another CDP, Salesforce Data Cloud, or Adobe Commerce data
  • Experience setting up a data governance program and implementing it in a catalog such as Atlan or Snowflake Horizon
  • Experience with Snowflake Cortex, semantic/metric layers, or NL‑to‑SQL tooling
  • Familiarity with AI and knowledge‑layer technologies: Amazon Neptune, RDF/graph patterns, OWL/SKOS ontology design, or Graph RAG

Client does not sponsor Visas and will need candidates who do not require sponsorship.

Reference:1067223

Revel IT is an Equal Opportunity Employer. Revel IT does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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