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Senior Principal Data Engineer Jobs in Delaware (NOW HIRING)

Serigor, Inc.

Senior Data Engineer (Hybrid)

Wilmington, DE · On-site

$102K - $139K/yr

Senior Data Engineer (Hybrid) Location: Wilmington, DE / Berwyn, PA Duration: 18 Months, quarterly increments Senior Data Engineer to support a large-scale enterprise data modernization initiative ...

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Elite IT Solutions inc

Senior Data Engineer

Greenville, DE · On-site

$102K - $139K/yr

Job Summary We are seeking a highly skilled Data Engineer to join a team responsible for building and enhancing a large-scale decision platform that drives customer-focused business decisions. The ...

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Senior Principal Data Engineer information

What is a senior principal data engineer?

Senior Principal Data Engineers are experienced professionals who design, develop, and oversee large-scale data systems and architectures for organizations. They lead teams in building robust data pipelines, ensure data quality, and implement best practices for data storage, processing, and security. Their role often involves collaborating with data scientists, analysts, and other stakeholders to support data-driven decision-making. They also mentor junior engineers and help set the technical vision for data engineering projects.

What are the key skills and qualifications needed to thrive as a senior principal data engineer?

To thrive as a Senior Principal Data Engineer, you need deep expertise in data architecture, data modeling, distributed systems, and strong proficiency in programming languages like Python, Java, or Scala, often supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and relevant certifications such as AWS Certified Data Analytics or Google Professional Data Engineer is highly valuable. Leadership, strategic thinking, and excellent communication skills help you guide teams and align data solutions with business goals. These capabilities are crucial for designing scalable, robust data infrastructure and driving data-driven decision-making at an organizational level.

How does a senior principal data engineer typically collaborate with cross-functional teams on large-scale projects?

Senior Principal Data Engineers often serve as technical leaders, working closely with data scientists, software engineers, product managers, and business stakeholders to design and implement robust data architectures. They facilitate communication across teams to ensure data solutions align with both technical requirements and business goals. Collaboration may involve leading design discussions, reviewing code, mentoring junior engineers, and establishing best practices for data quality and scalability. Their role is crucial in bridging gaps between technical and non-technical teams, ensuring successful project delivery.

What is the difference between Senior Principal Data Engineer vs Lead Data Engineer?

AspectSenior Principal Data EngineerLead Data Engineer
CredentialsAdvanced degrees (MSc/PhD), extensive experienceBachelor's or Master's, significant data engineering experience
Work EnvironmentStrategic, architecture design, cross-team collaborationProject execution, team coordination, technical leadership
Industry UsageUsed in large organizations for high-level technical rolesCommon in tech companies and data-driven industries

The Senior Principal Data Engineer focuses on strategic architecture and high-level technical decisions, often working across teams. In contrast, the Lead Data Engineer manages project execution and team coordination. Both roles require strong technical skills, but the Senior Principal typically has more experience and a broader scope of responsibilities.

How much does a senior principal data engineer make?

A senior principal data engineer typically earns between $130,000 and $180,000 annually, depending on experience, location, and industry. They often have advanced skills in data architecture, cloud platforms, and programming languages like Python or Scala, which can influence compensation levels.

What are the most commonly searched types of Principal Data Engineer jobs in Delaware?

The most popular types of Principal Data Engineer jobs in Delaware are:

What are popular job titles related to Senior Principal Data Engineer jobs in Delaware?

For Senior Principal Data Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Principal Data Engineer jobs in Delaware look for?

The top searched job categories for Senior Principal Data Engineer jobs in Delaware are:

What cities in Delaware are hiring for Senior Principal Data Engineer jobs?

Cities in Delaware with the most Senior Principal Data Engineer job openings:

Senior Principal Data Engineer jobs near you

Senior Data Engineer (Hybrid)

Serigor, Inc.

Wilmington, DE • On-site

$102K - $139K/yr

Full-time

Posted 2 days ago

New

Job description

Job Title: Senior Data Engineer (Hybrid)
Location: Wilmington, DE/Berwyn, PA
Duration: 18 Months, quarterly increments
Job Description:
Senior Data Engineer to support a large-scale enterprise data modernization initiative focused on migrating critical banking and enterprise data assets into a centralized Snowflake platform. This strategic program will transform how data is organized, governed, and utilized across the organization, enabling improved analytics, reporting, data quality, and business decision-making.
The consultant will join a multi-year transformation effort focused on migrating approximately 30 enterprise data domains from legacy platforms into a modern cloud-based ecosystem. Working within an Agile environment, this individual will play a critical role in designing, engineering, testing, governing, and supporting enterprise data solutions that power the future state of data and analytics across the organization.
Key Responsibilities:
  • Data Migration & Modernization
    • Analyze source systems, legacy databases, and existing data architectures.
    • Design and implement Snowflake database structures, schemas, and data models.
    • Migrate enterprise data assets from multiple source systems into Snowflake.
    • Build, enhance, and maintain ETL/ELT processes utilizing SSIS and related technologies.
    • Develop data transformation logic to support reporting and analytics requirements.
    • Validate data integrations and transformation accuracy.
  • Data Engineering
    • Design, develop, and maintain scalable data pipelines.
    • Optimize data ingestion, transformation, and storage processes.
    • Support Azure DevOps (ADO) CI/CD pipelines and deployment automation.
    • Create reusable frameworks, standards, and methodologies for data movement and integration.
    • Develop SQL and Python-based solutions to support enterprise data initiatives.
  • Reporting & Analytics
    • Develop reporting datasets and data marts.
    • Support the creation of business intelligence and analytical solutions.
    • Ensure consistency and accuracy between reports and source systems.
    • Collaborate with business stakeholders to support reporting requirements.
  • Data Governance & Data Quality
    • Support enterprise data governance initiatives and best practices.
    • Implement and maintain data retention policies.
    • Improve data quality, consistency, lineage, and integrity.
    • Assist with metadata management and governance programs.
    • Support evaluation and implementation of governance platforms such as Microsoft Purview.
    • Contribute to Master Data Management (MDM) initiatives.
  • Quality Assurance & Testing
    • Develop data testing strategies and quality assurance processes.
    • Support reconciliation, data validation, and defect remediation activities.
    • Participate in User Acceptance Testing (UAT) and QA cycles.
    • Support deployment validation and production release activities.
  • Operational Support
    • Provide ongoing support for production data platforms and related processes.
    • Troubleshoot performance issues, data failures, and platform incidents.
    • Perform root cause analysis and implement corrective actions.
    • Support quarterly release cycles and post-deployment activities.
    • Assist with future migration and platform enhancement initiatives.
  • Documentation & Knowledge Transfer
    • Create and maintain technical documentation, including:
    • Data mappings
    • Source-to-target specifications
    • ETL/ELT process documentation
    • Data lineage documentation
    • Architecture diagrams
    • Operational procedures
    • Conduct knowledge transfer sessions with internal teams.
    • Promote engineering standards, documentation practices, and best practices.

Minimum Education and Experience:
  • Degree and/or certifications required: NA (not specified by the client).
  • 7+ years of experience in Data Engineering, Data Warehousing, or Data Management.
  • Strong experience designing and developing solutions within Snowflake.
  • Advanced SQL development skills.
  • Experience with SSIS and enterprise ETL development.
  • Experience building ELT/ETL pipelines and data integration solutions.
  • Experience with Azure DevOps (ADO), CI/CD pipelines, and release management.
  • Experience with data modeling, schema design, and database architecture.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Experience supporting Agile software development methodologies.

Preferred Qualifications:
  • Experience within financial services, banking, or regulated industries.
  • Experience with Python scripting and automation.
  • Experience with Microsoft Purview or similar data governance tools.
  • Experience with Master Data Management (MDM) initiatives.
  • Familiarity with enterprise data modernization and cloud migration programs.
  • Understanding of source-to-target mapping and data lineage analysis.

Desired Experience:
  • The ideal candidate will have experience providing senior-level consulting and engineering services across:
  • Snowflake Database Design & Architecture
  • Data Modeling & Schema Development
  • Enterprise Data Migration
  • Data Integration & ETL/ELT Development
  • Azure DevOps Pipeline Development
  • Data Governance Programs
  • Data Quality Remediation
  • Metadata & Lineage Management
  • Agile Delivery & Release Management
  • Business and Technical Requirements Analysis

Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business requirements into technical solutions.
  • Strong documentation and organizational skills.
  • Ability to work independently while collaborating across multiple teams.
  • Experience working with cross-functional business, analytics, QA, and engineering teams.

Skills:
Skill
Required/Desired
Amount
of Experience
Experience in Data Engineering, Data Warehousing, or Data Management.
Required
7
Years
Strong experience designing and developing solutions within Snowflake.
Required
Years
Advanced SQL development skills.
Required
Years
Experience with SSIS and enterprise ETL development.
Required
Years
Experience building ELT/ETL pipelines and data integration solutions.
Required
Years
Experience with Azure DevOps (ADO), CI/CD pipelines, and release management.
Required
Years
Experience with data modeling, schema design, and database architecture.
Required
Years
Knowledge of data governance, metadata management, and data quality frameworks.
Required
Years
Experience supporting Agile software development methodologies.
Required
Years
Experience within financial services, banking, or regulated industries.
Desired
Years
Experience with Python scripting and automation.
Desired
Years
Experience with Microsoft Purview or similar data governance tools.
Desired
Years
Experience with Master Data Management (MDM) initiatives.
Desired
Years
Familiarity with enterprise data modernization and cloud migration programs.
Desired
Years
Understanding of source-to-target mapping and data lineage analysis.
Desired
Years

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