Senior Data Architect

Coefficient, Inc; Snowflake (AZ); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Data Architect who will be pivotal in designing and managing modern data architectures. This role offers the opportunity to collaborate with diverse teams to create scalable data ecosystems that drive business growth and efficiency. You will ensure data integrity and security while optimizing data flow and processing. Join a forward-thinking consulting firm that empowers businesses to harness their data's full potential, making a real impact in the data-driven transformation landscape. If you are passionate about innovation and eager to shape the future of data and AI, this is the perfect opportunity for you.

Benefits

Continuous Learning Opportunities

Mentorship Programs

Flexible Work Hours

Collaborative Environment

Health Insurance

Remote Work Options

Professional Development

Performance Bonuses

Qualifications

• 8+ years in data architecture and engineering with enterprise-grade solutions.
• Expertise in cloud-native data platforms and data governance best practices.
• Proven success in designing scalable data architectures.

Responsibilities

• Design and implement scalable data architectures aligned with client needs.
• Lead ETL/ELT processes for seamless data integration.
• Establish data governance frameworks to maintain data integrity.

Skills

Data Architecture

Data Engineering

SQL

NoSQL

ETL/ELT Processes

Data Governance

Cloud Platforms (Azure, AWS)

Big Data Technologies (Spark, Kafka)

Data Security

Agile Methodologies

Education

Bachelor’s degree in Computer Science

Master’s degree in Data Science

Tools

Microsoft Fabric

Databricks

Snowflake

Azure Data Factory

AWS Glue

Job description

Coefficient Corporation Senior Data Architect Remote·Full time Company website Apply for Senior Data Architect

Senior Data Architect - Remote/Hybrid based in Phoenix, AZ

Description

Job Summary:

At Coefficient, we help businesses harness the power of their data to drive growth, efficiency, and competitive advantage. As a Senior Data Architect, you will play a pivotal role in designing, implementing, and managing modern data architectures that enable our clients to turn raw data into strategic insights.

In this role, you will collaborate closely with client stakeholders and cross-functional teams to develop scalable, high-performance data ecosystems tailored to their business needs. You will ensure data integrity, security, and accessibility across diverse systems while optimizing data flow, collection, and processing. Beyond architecture design, you will establish and promote best practices, standards, and governance frameworks that empower clients to maintain and scale their data operations effectively.

As a Senior Data Architect at Coefficient, you won’t just build data solutions — you’ll empower businesses to unlock the full potential of their data. If you’re ready to make an impact, push boundaries, and be at the forefront of data-driven transformation, we’d love to have you on board.

Essential Functions:

• Design and implement scalable, future-ready data architectures that align with clients' business objectives and technology landscapes.
• Develop and maintain data models, databases, and integration frameworks that ensure data consistency, quality, and security.
• Define and implement data storage strategies, including cloud-based solutions, data lakes, data warehouses, and distributed systems to meet diverse client needs.

Data Integration & Management

• Lead the design and execution of ETL/ELT processes, ensuring seamless data integration from multiple sources into unified systems.
• Optimize data pipelines and workflows to ensure high efficiency, reliability, and performance in processing large datasets.
• Manage cloud and hybrid data environments, ensuring scalability, security, and cost efficiency for clients' data operations.

Data Governance & Security

• Establish and enforce data governance frameworks, policies, and standards to maintain data integrity, compliance, and trust.
• Implement robust data security measures, including encryption, access controls, and data masking, in collaboration with client security teams.
• Ensure adherence to regulatory requirements such as GDPR, CCPA, and industry-specific compliance mandates.
• Work directly with client stakeholders, business units, and technical teams to assess data needs and provide tailored solutions.
• Mentor and guide client teams, data engineers, and analysts in best practices for data architecture, governance, and analytics.
• Lead architecture review sessions, providing strategic recommendations and improvements to enhance data-driven capabilities.

Technology Evaluation & Innovation

• Stay ahead of emerging data technologies, cloud platforms, and AI-driven data solutions to enhance client capabilities.
• Evaluate and recommend modern data tools and platforms to drive efficiency and innovation in data management.
• Lead the implementation and integration of new data technologies, ensuring they align with client business goals and IT ecosystems.

Documentation & Reporting

• Develop and maintain comprehensive documentation for data architecture designs, data models, and integration strategies.
• Provide strategic insights and reports to client leadership, outlining data architecture performance, risks, and future opportunities.

Qualifications:

Experience:

• 8+ years of hands-on experience in data architecture, data engineering, or related fields, with a strong track record of designing and implementing enterprise-grade data solutions.
• Proven success in architecting and optimizing data ecosystems for large-scale, high-volume, and complex environments, ensuring scalability, reliability, and performance.
• Expertise in data modeling, database design, and data warehousing, with a deep understanding of OLTP, OLAP, and hybrid data processing architectures.
• Experience working in agile, Scrum, or iterative development environments, with the ability to plan, execute, and deliver complex technology solutions on time and within budget.
• Demonstrated ability to lead data architecture initiatives, collaborating with business stakeholders, engineers, and analysts to drive strategic data transformation.

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field; or equivalent demonstrated expertise through extensive work experience in data architecture and engineering.

Technical Expertise:

• Extensive experience with cloud-native data platforms (Azure, AWS), including data lake architectures, cloud data warehousing (e.g., Microsoft Fabric, Databricks, Snowflake), and modern data pipeline frameworks.
• Deep proficiency in SQL, NoSQL, and hybrid database architectures, with experience optimizing query performance, indexing strategies, and schema design.
• Strong understanding of data governance, data security, and compliance best practices, including encryption, access controls, and regulatory frameworks (GDPR, CCPA, HIPAA).
• Hands-on experience with big data technologies such as Spark, Kafka, Databricks, and real-time data streaming architectures.
• Experience in ETL/ELT design and development, leveraging tools like DBT, Delta Live Tables, or cloud-native ETL solutions such as Azure Data Factory or AWS Glue.

Preferred Certifications:

• Certified Data Management Professional (CDMP).
• AWS Certified Data Analytics.
• Snowflake SnowPro Certification.
• Other relevant certifications in data architecture, data engineering, or cloud platforms that showcase expertise in modern data technologies.

Key Success Traits:

• Excellent leadership skills, with the ability to effectively mentor team members, collaborate with cross-functional stakeholders, and influence decision-makers.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Detail-oriented with excellent organizational time management skills; able to manage and prioritize multiple, simultaneous tasks.
• Self-motivated with the ability to work independently and remotely with minimal supervision.
• Maintains high levels of integrity and dependability.
• Demonstrates the ability to function and stay focused in a constant pressure, fast growing, and ever-changing organization.
• Projects a professional demeanor and appearance.
• Flexible and adaptable; including occasional on-call, weekend, and off-hours interactions.
• Customer-focused with a passion for designing and implementing scalable high-performance data architectures that empower our clients to make data-driven decisions with confidence.

Who Are We?

Coefficient is a forward-thinking consulting firm that empowers businesses to harness the full potential of data and artificial intelligence. By transforming raw data into actionable intelligence, we enable our clients to make informed decisions that drive growth, efficiency, and customer satisfaction.

Our unique approach, known as the Coefficient Formula, focuses on:

• Discovering and unlocking hidden value within existing operational systems.
• Connecting use cases to broader business outcomes for a holistic impact.
• Fostering a data-centric culture through enhanced data literacy.
• Developing tailored data and AI roadmaps aligned with each organization's goals.
• Delivering measurable ROI by adding value and then multiplying it.

We are guided by core principles that define our collaborative process:

• Our Client’s Vision + Our Expertise: Combining clients' insights with our data proficiency.
• Rooted in Reality: Crafting practical solutions grounded in real-world contexts.
• Mindful of People: Prioritizing a human-centered approach to ensure user adoption.
• Execute, Together: Working side by side with clients to achieve shared success.

At Coefficient, we believe in turning exponential possibilities into probabilities, guiding businesses on a journey where data and AI are not just tools but catalysts for transformative change.

Why Join Our Team?

What sets us apart is our unwavering commitment to excellence—not only for our clients but also for the talented individuals who power our success. We foster an environment where curiosity, innovation, and impact drive everything we do. At Coefficient, you’ll work on solving real business challenges using cutting-edge technology, helping organizations unlock hidden value and shape the future of data-driven decision-making.

Joining our team means:

• Working with the Best – Collaborate with top-tier talent, industry leaders, and forward-thinking clients who see data as a strategic advantage.
• Making an Impact – Your work will directly drive measurable business outcomes, transforming companies from data-rich to data-driven.
• Growing Without Limits – We believe in investing in our people. You’ll have opportunities for continuous learning, mentorship, and leadership development.
• Shaping the Future of AI and Data – Be at the forefront of data strategy, engineering, and AI-driven innovation, tackling complex challenges that push the boundaries of what’s possible.
• A Culture of Excellence & Collaboration – We’re committed to doing great work, together. We take pride in building solutions that are practical, human-centric, and built for long-term success.

At Coefficient, our mission extends beyond delivering results—we empower entire teams, businesses, and industries to harness the full potential of data. And we don’t just create roadmaps; we build realistic, evolving strategies that turn exponential possibilities into real-world success. If you’re ready to be part of a company that’s defining the future of data and AI, let’s build something extraordinary together.