VaynerMedia Logo

VaynerMedia

Data Architect

Sorry, this job was removed at 02:10 p.m. (EST) on Wednesday, Mar 11, 2026
Be an Early Applicant
In-Office
New York, NY, USA
100K-110K Annually
In-Office
New York, NY, USA
100K-110K Annually

Similar Jobs

12 Days Ago
Remote or Hybrid
United States
200K-260K Annually
Expert/Leader
200K-260K Annually
Expert/Leader
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
The Staff Data Architect will enhance Jellyfish's data platform through architectural design, automation, advanced observability, and efficient data governance, while collaborating across teams.
Top Skills: AirflowBigQueryDagsterDatabricksPrefectPythonSnowflakeSQLTerraform
Yesterday
In-Office or Remote
48 Locations
150K-248K Annually
Senior level
150K-248K Annually
Senior level
Cloud • Software
Lead technical architect for enterprise Agentforce engagements, designing and building complex Agentforce solutions, writing Apex/SOQL, integrating AI data stacks (RAG, vector DBs, search indexes), advising customers and internal teams, creating reference architectures, enabling employees, and feeding product/engineering with field insights while managing multiple client engagements.
Top Skills: ApexData CloudEltETLFoundational ModelsKnowledge BasesLlmsRagSales CloudSalesforce AgentforceSalesforce CRMSearch IndexesService CloudSOQLVector Databases
3 Days Ago
In-Office
2 Locations
66K-76K Hourly
Mid level
66K-76K Hourly
Mid level
Information Technology
Design and govern enterprise-scale Azure data platforms and lakehouse/warehouse solutions. Translate business needs into logical/physical data models, document data flows, set architecture standards, and guide Snowflake and Databricks implementations while collaborating with BI, data engineering, and analytics teams.
Top Skills: AzureDatabricksErwinMicrostrategySnowflake

ABOUT VAYNERX

VaynerX (https://vaynerx.com) is the most contemporary family of companies, working together to build and grow brands. Subsidiaries include VaynerMedia, Eva Nosidam Productions, The Sasha Group, Gallery Media Group, Tingley Lane Trading, VaynerSpeakers, and VaynerCommerce.

ABOUT VAYNERMEDIA 

VaynerMedia is a contemporary global creative and media agency with an expertise in driving relevance for clients and delivering impactful business results. The independently-owned company was founded in 2009 by Gary Vaynerchuk, and has offices in New York, Los Angeles, Toronto, Mexico City, London, Amsterdam, Singapore, Delhi, Kuala Lumpur, Bangkok, Tokyo, and Sydney. VaynerMedia has been recognized for its work at Cannes Lions, the Clio Awards and The Webby Awards. It is part of the VaynerX family of companies.

In a Nutshell

We're looking for a Data Architect who thrives on building something from the ground up. Not maintaining what already works—but creating the foundation that transforms how an organization uses data.

 

Our data infrastructure is at an exciting inflection point. We're evolving from fragmented data systems to a unified, trusted platform that empowers decision-making across the organization. This is your opportunity to design the target-state architecture, establish governance frameworks, implement best practices, and build the systems that enable true self-service analytics.

 

You'll be joining a lean, high-performing team and working closely with stakeholders across Finance, Work Management, and Reporting functions. This role combines strategic architecture design with hands-on implementation—you'll define the vision and build it.

 

This isn't a role where you'll be handed a roadmap and told to execute. You'll create the roadmap. You'll make consequential decisions. You'll establish credibility through delivered results. And you'll get your hands dirty implementing what you design—because in a growing team, architects who only strategize don't create impact.

 

If you've successfully built data architecture from scratch or led transformation initiatives, if you can explain technical concepts to non-technical stakeholders, and if you'd rather build something new than maintain something established—this is your role.

 

What You'd Do

 

Design & Build

  • Design target-state architecture for our Snowflake data warehouse, defining schema structures, data layers, naming conventions, and quality standards
  • Implement data models that balance performance, scalability, and business needs
  • Build reusable frameworks, pipeline templates, and quality checks that accelerate development
  • Create comprehensive documentation—architecture diagrams, data flows, standards guides, and data dictionaries

 

Establish Governance

  • Define data governance framework including ownership models, policies, and processes
  • Establish architecture review process ensuring new data products meet standards and align with overall strategy
  • Create and maintain business glossary with standardized definitions for key metrics and terms
  • Partner with application administrators (NetSuite, Salesforce, HiBob, etc.) to optimize data quality at source systems

 

Enable & Scale

  • Build searchable data catalog enabling self-service data discovery
  • Implement semantic layer defining business metrics consistently across all tools
  • Create data products (Customer 360, Financial Performance, Campaign Analytics) serving specific business needs
  • Train stakeholders on self-service capabilities and best practices
  • Define and monitor SLAs for critical data pipelines

 

Collaborate & Lead

  • Work hands-on with SQL, Python, and Snowflake—implementing the architecture you design
  • Partner with Finance, Work Management, and Reporting teams to understand requirements and deliver solutions
  • Review and approve architecture decisions for new data products
  • Mentor team members on architectural patterns and best practices
  • Build trust through clear communication, delivered commitments, and measurable improvements

 

What You've Got

 

The Non-Negotiables

  • You've built data architecture from scratch or led transformation initiatives. You've been the person who established standards, created governance, and designed scalable systems. You can point to specific examples where you did this.
  • You're hands-on. You write SQL and Python. You build pipelines. You don't just design—you implement. You're comfortable in Snowflake (or similar cloud data warehouses) and can architect and execute.
  • You build trust with stakeholders. You've worked with business users and earned their confidence through communication, delivery, and visible improvements. You explain technical concepts without the jargon.
  • You thrive in growing teams. You're self-directed, wear multiple hats, and create structure where it doesn't exist. Ambiguity energizes you rather than paralyzes you.
  • You're pragmatic. You balance ideal architecture with business realities. You prioritize ruthlessly and deliver iteratively. You know when good enough is good enough.

 

Technical Expertise

  • Snowflake mastery (or equivalent cloud data warehouse like BigQuery, Redshift). You understand warehouses, compute, storage optimization, and how to design for scale.
  • Data modeling expertise. You know dimensional modeling, normalization, slowly changing dimensions, and when to use which approach. You design clean, performant schemas.
  • Modern data stack experience. You've worked with ETL/ELT tools like Matillion, Fivetran, Airbyte, Alteryx, or dbt. You understand orchestration (Airflow or similar). You know how the pieces fit together.
  • Strong SQL and Python. You write complex queries, create efficient transformations, and script automation. You can code your way through challenges.
  • AWS knowledge (strongly preferred). Our infrastructure lives in AWS and understanding cloud services is valuable.

 

Who You Are

  • Exceptional communicator. You translate complex technical concepts into language stakeholders understand. You write clear documentation. You build consensus.
  • Systems thinker. You see how everything connects. You understand downstream impacts. You design for the whole, not just the parts.
  • Change agent. You drive adoption of new standards and processes. You influence effectively. You make things happen.
  • Builder mentality. You get energy from creating new systems and solving complex problems. Greenfield opportunities excite you.
  • Quality-focused but practical. You care about doing things right, but you also ship. You deliver value iteratively.

 

Bonus Points

  • Experience with enterprise systems like NetSuite (Finance/Accounting), HiBob (HR), Salesforce (CRM), or similar platforms
  • You've implemented data catalogs, semantic layers, or data mesh concepts
  • You've led data governance initiatives from inception
  • Experience with BI tools (we use Tableau)

Unsure if you meet the qualifications? We are always looking for talent which will continue to cultivate an inclusive and representative team that will enhance our perspectives, skill sets, background, and behaviors.  We encourage those who are passionate about what we do to apply!

  • Exact compensation may vary based on skills, experience, and location. 
  • Employer-sponsored 401k with match
  • Medical, Dental, and vision coverage
  • Unlimited PTO
  • Caregiver (Parental) Leave
  • Health and Wellness benefits
Base Salary
$100,000$110,000 USD
HQ

VaynerMedia New York, New York, USA Office

10 Hudson Yards, Floor 25, , New York, NY, United States, 10001

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account