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Senior Data Architect Jobs in Springfield, MA (NOW HIRING)

Data Architect_ Windsor, CT

Windsor, CT · On-site

$63.50 - $81.75/hr

Georgia IT, Inc. is seeking a Senior Data Architect to lead enterprise data strategy, data platform modernization, and solution design. This role works directly with business, architecture, and ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Design and architect the solution independently * Have a passion to learn, Take ownership and ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter ...

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

... , Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

Senior Data Engineer

Hartford, CT · On-site

$106K - $145K/yr

As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining ... Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer ...

Ignition/SCADA Architect

East Granby, CT · On-site

$63.50 - $81.75/hr

Conduct site surveys to assess data integration readiness and propose integration approaches to ... Mid-senior * Experience required: 10 years * Education: Bachelor's degree * Job Details Industry:

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Senior Data Architect information

See Springfield, MA salary details

$39

$75

$102

How much do senior data architect jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for senior data architect in Springfield, MA is $75.12, according to ZipRecruiter salary data. Most workers in this role earn between $64.42 and $86.25 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

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

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

What is the difference between Senior Data Architect vs Data Engineer?

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Architect jobs in Springfield, MA?

The most popular types of Data Architect jobs in Springfield, MA are:

What are popular job titles related to Senior Data Architect jobs in Springfield, MA?

For Senior Data Architect jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Senior Data Architect jobs in Springfield, MA look for?

The top searched job categories for Senior Data Architect jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Senior Data Architect jobs?

Cities near Springfield, MA with the most Senior Data Architect job openings:

Infographic showing various Senior Data Architect job openings in Springfield, MA as of June 2026, with employment types broken down into 4% As Needed, 56% Full Time, 34% Part Time, 4% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $156,253 per year, or $75.1 per hour.

Senior Data Architect with (P&C Insurance and Duck Creek)

e-IT Professionals Corp.

Hartford, CT • On-site

$67.75 - $90.75/hr

Other

Posted 12 days ago


Job description

Role : Senior Data Architect / Data Solutions Lead (P&C Insurance)

Location : Hartford, CT 06155 (Hybrid)

Mode: Contract /FTE

Job Overview

We are seeking a Senior Data Architect to design and modernize data platforms across personal insurance lines, specifically Automobile, Personal, and Homeowners insurance. You will lead the modern migration of legacy core systems Mainframe and DB2 into a high-performance Duck Creek cloud ecosystem. Your primary focus will be architecting data solutions using Snowflake, PostgreSQL, and Python, with a specific emphasis on Duck Creek Clarity policy, billing, and claims data models. You will establish robust Data Quality (DQ) frameworks to ensure accurate underwriting analytics, risk profiling, and regulatory reporting.

Domain-Specific Responsibilities

  • Multi-Line Integration: Architect data models that unify distinct data streams across Auto (vehicle telematics, driving history) and Homeowners (property risk, geographic data) lines of business.
  • Duck Creek Integration: Design and manage ingestion pipelines from Duck Creek Clarity to extract, transform, and load comprehensive policy, billing, and claims workflows.
  • Data Migration: Lead complex migration strategies transferring high-volume personal lines historical data from legacy mainframes or relational databases to modern cloud platforms.
  • Data Quality Frameworks: Establish automated DQ rules and profiling to ensure pristine financial reporting, accurate loss-ratio calculations, and claims tracking.
  • Pipeline Development: Build efficient, reusable data ingestion and transformation pipelines using Python and SQL.
  • Predictive Analytics Support: Partner with Actuarial and Underwriting teams to structure data for pricing models, geographic hazard mapping, and customer lifetime value analytics.

Required Skills and Qualifications

  • Insurance Expertise: Minimum 5+ years of experience working specifically with Personal Lines data (Automobile, Homeowners, Personal Property).
  • Duck Creek Clarity: Deep structural understanding of Duck Creek Clarity schemas, transactional databases, and operational data stores.
  • Cloud Data Warehousing: Expert-level design experience with Snowflake, including data sharing, clustering, and cost optimization.
  • Relational Databases: Strong mastery of PostgreSQL implementation, indexing, and complex query optimization.
  • Programming: Advanced proficiency in Python for data manipulation, scripting, data loading to Duck Creek and ETL frameworks.
  • Data Migration Experience: Proven track record of handling large-scale core system migrations with zero data loss.
  • Data Quality Tools: Experience with DQ frameworks using custom Python/PostgreSQL-based validations.