Data Platform Engineer @Privacy Policy
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2mths ago

[Hiring] Data Platform Engineer @Privacy Policy

2mths ago - Privacy Policy is hiring a remote Data Platform Engineer. 💸 Salary: unspecified 📍Location: USA

Role Description

We are looking for a Data Platform Engineer to help us support our continued growth. A Data Platform Engineer facilitates discovery sessions to understand client processes and challenges and translates findings into technical requirements supported by a documented solution design. They provide thoughtful leadership and communication to project and client team members in order to build the foundation as a trusted partner.

Responsibilities

  • Data Engineering:
    • Develop and implement data architectures that align with business needs and leverage Snowflake’s capabilities for data warehousing, data lakes, and data engineering.
    • Design and implement data solutions that address specific business needs, such as BI, ETL, and AI/ML.
    • Assist with migration of data from legacy systems to Snowflake.
    • Ensure data accessibility, security, and compliance with relevant regulations and industry standards.
  • Data Modeling & Pipeline Design:
    • Design and implement data pipelines for ingesting, transforming, and loading data into Snowflake from various sources.
    • Design and implement data models within Snowflake, considering data relationships, data types, and storage requirements.
    • Monitor and optimize query performance, data ingestion, and transformation processes within the Snowflake environment.
  • Technical Leadership and Collaboration:
    • Collaborate with stakeholders, including business users, data engineers, data scientists, and other IT teams, to understand requirements and deliver solutions.
    • Evaluate and select appropriate 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.

Qualifications

  • 5+ years experience in data engineering and data modeling for cloud data platforms with multiple workstreams.
  • Deep understanding of Snowflake Architecture & Capabilities.
  • Experience with dbt.
  • Experience with Sigma.
  • Passionate about Data Modernization Methods and Practices.
  • Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science.
  • Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization.
  • Understanding & ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360.
  • Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this.
  • Demonstrable experience leading strategy and digital roadmap projects in a complex business environment.
  • Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products.
  • Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc.
  • Deep Understanding of Architecture Patterns and API management, including real-time streaming.
  • Dimensional Data Modeling Bronze, Silver, Gold, Kimball or Related Methods.
  • Must have full-time permanent US work authorization.

Additional Requirements

  • Bachelor’s Degree preferred, or equivalent experience.
  • Implementation or Sales Experience in Salesforce Data Cloud.
  • Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud or any Industry Clouds.
  • Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
  • Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
  • Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc.
  • Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.).

Benefits

  • Flexible working hours with an emphasis on a life-work balance (in that order!).
  • Remote flexible work; “Live by the beach, work in the Cloud,” plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA & Lexington, KY; travel as required to client locations.
  • Unlimited Paid Time Off (RTO), 401K with Company Match, and Medical, Vision, & Dental coverage.
  • Competitive quarterly bonus opportunities.
  • Continuing education and certification reimbursements, specifically within the Salesforce and Snowflake ecosystems; plus occasional in-house competitions with spot bonuses.
  • A flexible and fun team culture! We value transparency, support, flexibility, growth, teamwork, fun, and so much more.
  • Frequent team and culture activities, virtual & in-person, including Lunch and Learns, Happy Hours, team-building events.
  • Monthly All-Hands calls to bring the company together, and an 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.
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Data Platform Engineer @Privacy Policy
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2mths ago
Apply for this position
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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