Data Engineer – Customer 360 & Snowflake Platform

TechnoGen Inc

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profile Job Location:

Sterling, MA - USA

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Engineer Customer 360 & Snowflake Platform
Location: Newark DE or Sterling VA / Hybrid
Department: Data & Analytics

About the Role
Client is accelerating its data modernization journey to deliver a cloud unified trusted and actionable view of every customer. As a Data Engineer specializing in Customer 360 Customer Master Data and the Snowflake Data Cloud you will help design and build the data foundations that power personalized experiences regulatory reporting and enterprise analytics across lending servicing and marketing.
This role is ideal for an engineer who thrives at the intersection of data architecture cloud engineering and customer intelligence.
Key Responsibilities
Customer 360 & Master Data Engineering
  • Design build and maintain Customer 360 data models that unify identity accounts interactions transactions and servicing data across the enterprise.
  • Develop and enhance Customer Master Data pipelines ensuring accuracy survivorship logic deduplication and golden record creation.
  • Implement identity resolution frameworks using deterministic and probabilistic matching techniques.
  • Partner with Marketing Servicing Risk and Digital teams to translate customer insights into scalable data assets.
Snowflake Data Cloud Engineering
  • Build high performance data pipelines and transformations using Snowflake Snowpipe Streams & Tasks and Snowpark.
  • Optimize Snowflake compute usage storage patterns and performance tuning for large scale customer datasets.
  • Implement secure data sharing RBAC and data governance controls aligned with Sallie Maes compliance requirements.
Data Integration & Pipeline Development
  • Develop robust scalable ETL/ELT pipelines using tools such as Fivetran Informatica dbt Matillion or equivalent.
  • Integrate data from internal systems (loan origination servicing CRM digital engagement) and external sources (credit bureaus marketing platforms).
  • Ensure data quality lineage and observability through automated validation and monitoring frameworks.
Collaboration & Governance
  • Work closely with Data Governance Architecture and Security teams to enforce data standards and stewardship.
  • Contribute to enterprise metadata cataloging and data quality initiatives.
  • Support analytics AI/ML and reporting teams with well structured trusted and discoverable customer datasets.
Required Qualifications
  • Bachelors degree in Computer Science Information Systems Engineering or related field.
  • 10 years of experience in data engineering cloud data platforms or enterprise data management.
  • Hands on expertise with Snowflake (Snowpipe Streams/Tasks Snowpark performance tuning).
  • Strong SQL and Python skills for data transformation and automation.
  • Experience building Customer 360 or Customer Master Data solutions in a regulated industry.
  • Familiarity with MDM concepts: identity resolution survivorship rules hierarchy management and data quality frameworks.
  • Experience with ETL/ELT tools and orchestration frameworks (Airflow dbt Informatica Fivetran etc.).
  • Understanding of data governance privacy and compliance standards (GLBA SOC2 PCI etc.).
Preferred Qualifications
  • Experience in financial services lending credit or consumer banking.
  • Exposure to real time or near real time data ingestion patterns (Kafka Kinesis event streaming).
  • Knowledge of customer analytics segmentation and personalization use cases.
  • Familiarity with cloud platforms (AWS preferred) and DevOps practices (CI/CD Terraform GitOps).
  • Experience supporting AI/ML workloads or feature engineering pipelines.
Best Regards

Tajuddin M
Talent Acquisition Specialist
Phone:
Email:
Web:
4229 Lafayette Center Dr Suite 1880 Chantilly VA 20151
Data Engineer Customer 360 & Snowflake Platform Location: Newark DE or Sterling VA / Hybrid Department: Data & Analytics About the Role Client is accelerating its data modernization journey to deliver a cloud unified trusted and actionable view of every customer. As a Data Engineer specializing...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala