Senior Data Engineer – Cloud / AWS / Snowflake / Databricks

Delta Computer Consulting; Marysville (OH); On-site; USD 99,187 - 108,830; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

Life insurance

401k

Continuing education benefits

Job summary

A technology consulting firm is seeking a Senior Data Architect to lead data architecture initiatives and create scalable data solutions. The ideal candidate should have a bachelor's degree and over 10 years of experience in data modeling, proficient in AWS and various data management tools. This is a full-time, onsite role based in Marysville, Ohio, offering a competitive hourly rate and a focus on long-term projects.

Qualifications

• 10+ years of data architecture and data modeling experience.
• Strong proficiency in AWS, Redshift, Snowflake, or Databricks.
• Proven ability to design and deploy modern big-data architectures.

Responsibilities

• Lead enterprise-level data architecture initiatives.
• Design and implement data systems such as databases, warehouses, and data lakes.
• Ensure data quality, consistency, and compliance with industry regulations.

Skills

Data architecture

Data modeling

AWS

Erwin or similar tools

Snowflake

NoSQL databases

Data quality

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Erwin

AWS

Redshift

Snowflake

Databricks

Job description

• Pay Range: $72.00 – $79.00 per hour, based on experience and internal equity
• Schedule: Full-time, contract; long-term multi-year opportunity
• Work Type: 100% Onsite
• Benefits: Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education

📍 You must be willing to work onsite in Marysville, OH

✅ Sponsorship is available for this role

Position Summary

The Senior Data Architect will lead enterprise-level data architecture initiatives that transform business requirements into scalable, secure, and efficient data solutions. This individual will design, implement, and maintain modern data architectures leveraging cloud technologies while ensuring governance, compliance, and alignment with strategic goals.

Key Responsibilities

• Translate complex business needs into data models, metadata standards, and data governance frameworks.
• Define and maintain enterprise data architecture standards and documentation.
• Design and implement data systems such as databases, warehouses, and data lakes.
• Collaborate across IT, business, and analytics teams to deliver integrated and secure data solutions.
• Implement and manage data protection measures (filtering, masking, encryption, and fencing).
• Evaluate and recommend emerging technologies for data management and analytics.
• Ensure data quality, consistency, and compliance with industry regulations (SOX, CCPA, GDPR, etc.).
• Lead architecture reviews, governance processes, and data strategy planning.
• Improve performance, scalability, and reliability of enterprise data pipelines.

What You’ll Be Working On

• Designing and optimizing cloud data lake and warehouse solutions.
• Establishing data protection strategies for storage, compute, and API layers.
• Partnering with leadership to develop long-term data strategy roadmaps.

Required Skills & Experience

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• 10+ years of data architecture and data modeling experience.
• Expertise in Erwin or similar data modeling tools.
• Strong proficiency in AWS, Redshift, Snowflake, or Databricks.
• Knowledge of real-time data tools (Kafka, Kinesis, Dataflow).
• Experience with both relational and NoSQL databases (DB2, PostgreSQL, MongoDB, etc.).
• Proven ability to design and deploy modern big-data architectures.
• Advanced understanding of metadata systems, data quality, and governance.
• Excellent communication and leadership skills across cross-functional teams.

Desired Skills

• Experience with Informatica, Power BI, or Tableau.
• Background in data security, privacy, and compliance.
• Familiarity with data warehouse optimization and real-time analytics.
• 3+ years Big 4 consulting experience preferred.
• Stable work history with large enterprise organizations.