Demo

Data Architect

Cynet Systems
Framingham, MA Full Time
POSTED ON 3/2/2025
AVAILABLE BEFORE 5/26/2025

Job Description :

Pay Range : $55hr - $60hr

Responsibilities :

  • rchitect and implement data solutions across Marketing, Sales, and Customer Service, using technologies such as DBT, Snowflake, and Azure.
  • Design and optimize data pipelines that integrate various data sources (1st party, 3rd party, operational) to support business intelligence and advanced analytics.
  • Develop data models and data flows that enable personalized customer experiences and support omnichannel marketing and customer engagement.
  • Lead efforts to ensure data governance, data quality, and data security, adhering to compliance with regulations such as GDPR and CCPA.
  • Implement and maintain data warehousing solutions in Snowflake to handle large-scale data processing and analytics needs.
  • Optimize workflows using DBT to streamline data transformation and modeling processes.
  • Leverage Azure for cloud infrastructure, data storage, and real-time data analytics, while ensuring the architecture supports scalability and performance.
  • Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to ensure data architectures meet business needs.
  • Support both real-time and batch data integration, ensuring data is accessible for actionable insights and decision-making.
  • Continuously assess and integrate new data technologies and methodologies to enhance the organization's data capabilities.

Qualifications :

  • 7 years of experience in Data Architecture or Data Engineering, with specific expertise in DBT, Snowflake, and Azure.
  • Strong understanding of data modeling, ETL / ELT processes, and modern data architecture frameworks.
  • Experience designing scalable data architectures for personalization and customer analytics across marketing, sales, and customer service domains.
  • Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
  • Hands-on experience with Python for data engineering tasks and scripting.
  • Proven track record of building and managing data pipelines and data warehousing solutions using Snowflake.
  • Familiarity with Customer Data Platforms (CDP), Master Data Management (MDM), and Customer 360 architectures.
  • Strong problem-solving skills and ability to work with cross-functional teams to translate business requirements into scalable data solutions.
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree preferred.
  • Preferred :

  • Experience working with AI / ML models for customer analytics and personalization.
  • Knowledge of data privacy and compliance regulations (GDPR, CCPA).
  • Salary : $55 - $60

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