Solution Data Architect / Data Governance Manager - Remote - US Based

Remote, REMOTE, United States

CoEnterprise, LLC

View company page

Company Description

CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Supply Chain and Business Analytics solutions and services that transform how companies connect and do business. CoEnterprise approaches each relationship and engagement from the perspective of three core values: collaboration, ownership, and excellence. We value collaboration with both our partners and clients in order to present the best possible outcome for our customers. Our vow to accept ownership ensures that our entire staff takes pride in our work and it is our commitment to excellence that ensures that this work is at the highest standard possible.

Job Description

Responsibilities 

  • Elicit, understand and restate complex business challenges related to realizing an organization’s advanced analytics data strategy:  
    • Data Governance
    • Master Data Management
    • Automated Data Quality Checks
    • Data Engineering
    • ETL Pipelines and Workflows
    • Data Lakes and Integration to Cloud Data Warehouses
    • Data Cleansing and Remediation
    • Understanding of Meta-data – structured and unstructured data, data relationships
  • Define and visualize data architecture patterns for analytics solutions, modeling both AS-IS and TO-BE data architecture topologies for both on-prem and the cloud 
  • Identify, propose and justify data warehousing, data modeling and analytics architectures for BI, data science, ad-hoc query analysis, data sharing and application development 
  • Synthesize customer analytics challenges into solutions
  • Establish confidence in recommendations via product expertise, custom product demonstrations, technical phone calls, RFP/RFI responses, product roadmap discussions, architectural topology options & business process diagrams 
  • Demonstrate and advise in our core Analytics platforms including: 
    • Azure
    • Atlan
    • Snowflake 
    • Power BI / Tableau
  • Implementation of data warehousing solutions on Azure
  • API integrations 
  • Engage with both internal teams and customers in a consultative and approachable manner 
  • Design and deliver presentation materials within established content and style parameters 
  • Technical Skills
    • Data Analysis and Security
    • Data Modeling and Architecture
    • Database and Data Warehouse Design
    • Data Management Technologies
    • Data Quality Management
    • Data Quality Frameworks
    • Data Quality Management
    • Data Lineage and Impact Analysis
    • Data Lifecycle Management

 

    Qualifications

    Qualifications

    • 7+ years architecting analytics solutions in the cloud, including design and delivery of data lakes, data warehouses and data marts 
    • 5+ years' prior experience within a mid-market or Enterprise level consulting, delivering SaaS solutions and concepts 
    • 2+ years working with the Snowflake Data Cloud 
    • Solid Foundation in Risk and Change Management
    • Advanced SQL skills 
    • Proficient coding skills in at least one of the following: Python, JavaScript, R or other data science language 
    • Familiarity implementing solutions in Azure
    • Familiarity with system integration methods such as web services, SOAP APIs & REST APIs 

    Professional Skills 

    • Proven experience working with employees at all levels of an organization 
    • Comfortable developing and presenting solutions  
    • Experience creating technical business documentation like workflow diagrams, proposals, SOWs, RFPs and RFIs, etc. 
    • Structured and methodical approach to creating and maintaining notes, deliverables, statements of work and other work artifacts in accordance with team standards 
    • Strong verbal and written communication skills 
    • Comfortable prioritizing and managing multiple, often competing, workstreams effectively. 
    • Must be a continually curious, committed, and efficient learner of new business and technology skills, highly responsive to emerging sales requirements 

    Other 

    • Willingness to travel 25% or more as needed 
    • Experience in Retail Industry

    Additional Information

    Come experience our spirited culture and work with a smart, dedicated and high-energy team in a stable and fast-growing company! Here is a small sample of our benefits and perks we offer:

    • Comprehensive Health Insurance with generous employer contribution
    • Matching 401(k) - $$$$
    • Generous PTO Policy
    • Virtual Team Lunches
    • Wellness Program
    • Monthly Mingles
    • Birthday Celebrations
    • Virtual Events- Happy Hours, Casino Night, Magic Show, Scavenger Hunt of National History Museum

    At CoEnterprise, we believe diversity drives innovation. We are committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of our business.  In recruiting for our team, we welcome the unique contributions that you can bring. We value employees for their differences represented by a variety of dimensions including demographics, behaviors, work style and perspectives.

    We are an AA/EOE employer.

    Apply now Apply later
    • Share this job via
    • or

    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Tags: APIs Architecture Azure Business Analytics Consulting Data analysis Data governance Data management Data quality Data strategy Data warehouse Data Warehousing Engineering ETL JavaScript Pipelines Power BI Python R Security Snowflake SQL Tableau Unstructured data

    Perks/benefits: Health care Startup environment Team events

    Regions: Remote/Anywhere North America
    Country: United States
    Job stats:  3  0  0

    More jobs like this

    Explore more AI, ML, Data Science career opportunities

    Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.