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Chief Data Architect Jobs in Indiana (NOW HIRING)

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

Chief Digital Officer The Opportunity POLYWOOD is building something most companies talk about but ... Set the architectural standards, modeling conventions, and data quality frameworks that the whole ...

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Chief Data Architect information

See Indiana salary details

$99.4K

$169K

$240.7K

How much do chief data architect jobs pay per year?

As of Aug 15, 2026, the average yearly pay for chief data architect in Indiana is $168,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,700.00 and $185,600.00 per year, depending on experience, location, and employer.

How does a chief data architect typically collaborate with other departments to shape an organization’s data strategy?

A Chief Data Architect works closely with IT, business units, and executive leadership to design and implement data systems that align with organizational goals. They facilitate communication between technical teams and stakeholders to ensure data solutions support business needs, compliance, and scalability. Regular cross-functional meetings and workshops are common, enabling the architect to gather requirements, address challenges, and guide teams in adopting best data practices. This collaborative approach ensures a unified data strategy and fosters innovation across the organization.

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

To thrive as a Chief Data Architect, you need deep expertise in data modeling, database design, and enterprise data management, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like CDMP or cloud architect credentials are highly valuable. Strategic thinking, leadership, and strong communication skills help drive cross-functional alignment and successful data initiatives. These competencies ensure robust, scalable data architectures that support business goals and enable effective data-driven decision-making.

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

AspectChief Data ArchitectData Engineer
CredentialsTypically requires advanced degrees in data science, computer science, or related fields; certifications like CDMP or DAMA are commonOften requires a bachelor's or master's in computer science, software engineering, or related fields; certifications like Google Cloud Professional Data Engineer or AWS Data Analytics are beneficial
Work EnvironmentStrategic role involving designing data architecture, overseeing data management policies, and collaborating with executive teamsOperational role focused on building, maintaining, and optimizing data pipelines and infrastructure
Industry UsageCommonly found in large enterprises, financial institutions, and tech companiesWidely used across industries including tech, finance, healthcare, and retail

The Chief Data Architect focuses on designing and overseeing the overall data strategy and architecture, while the Data Engineer implements and maintains the data systems. Both roles require technical expertise, but the architect has a broader, strategic focus, whereas the engineer is more hands-on with data infrastructure.

What is a chief data architect?

A Chief Data Architect is a senior technology leader responsible for designing and managing an organization's overall data architecture strategy. This role involves setting data standards, ensuring data quality and security, and aligning data initiatives with business objectives. Chief Data Architects oversee the integration of data from multiple sources, guide the adoption of new data technologies, and collaborate with other executives to maximize the value of data assets.

What are popular job titles related to Chief Data Architect jobs in Indiana?

For Chief Data Architect jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Chief Data Architect jobs in Indiana look for?

The top searched job categories for Chief Data Architect jobs in Indiana are:

Chief Data Architect jobs near you
Infographic showing various Chief Data Architect job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $168,971 per year, or $81.2 per hour.

VP of Data & Analytics

POLYWOOD

Syracuse, IN • On-site

Full-time

Re-posted 16 days ago

Polywood rating

5.4

Company rating: 5.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

45th of 51 rated furniture manufacturers

Job description

Description:

POLYWOOD | Hybrid / Remote | Reports To: Chief Digital Officer

The Opportunity

POLYWOOD is building something most companies talk about but few actually achieve: a data organization that doesn't just report on the business but shapes it. We're evolving from outdoor furniture to outdoor living, and the decisions that drive that shift need to be grounded in real consumer insight, commercial intelligence, and operational clarity.

This is the role that makes that happen.

The Role

The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data platform, lead a team of data and analytics engineers, and manage embedded analysts across the organization who sit close to the business units they serve.

Critically, this role isn't just internal infrastructure. You'll be a key partner to Marketing, Advertising, and Commercial leadership, ensuring that data drives smarter decisions across the consumer journey, from acquisition to retention to repurchase.

You'll lead the organization through two direct reports:

  • Director of Data Engineering who builds and maintains the data platform and pipelines
  • Embedded Analysts across business units who translate data into action at the point of need
What You'll OwnData Strategy and Platform Leadership
  • Define and evolve POLYWOOD's enterprise data strategy, from ingestion to insight
  • Own the Databricks lakehouse environment and ensure it's structured, governed, and built for scale
  • Set the architectural standards, modeling conventions, and data quality frameworks that the whole organization relies on
  • Stay technically credible: you understand medallion architecture, transformation pipelines, and data modeling well enough to lead a Director of Data Engineering and make sound platform decisions
Analytics and Organizational Leadership
  • Lead and develop a team of data engineers, analytics engineers, and embedded business analysts
  • Ensure embedded analysts are well-connected to both their business units and to the central data org, so insights are consistent, reliable, and actually used
  • Build a culture of curiosity, rigor, and practical impact across the team
  • Partner with HR and business unit leaders to grow the analyst function as the company scales
Commercial and Marketing Partnership
  • Serve as the primary data partner to Marketing, Advertising, and Commercial leadership
  • Ensure consumer and marketing data pipelines, including Shopify, GA4, Google Ads, and Meta, are structured to support attribution, performance measurement, and audience intelligence
  • Connect data to commercial decisions: pricing, assortment, promotions, and customer lifecycle
  • Help define the KPIs and measurement frameworks that align creative, media, and business teams around shared outcomes
Governance and Data Quality
  • Establish and enforce data governance standards, access controls, and metric definitions across the organization
  • Ensure finance and operations are working from the same numbers
  • Reduce reliance on manual reporting and ad hoc data pulls by building reliable, self-serve business-ready models
What We're Looking For
  • Technical Leader who is credible with engineers and can make sound architectural decisions, not just manage up
  • Organizational Builder who knows how to structure a data org, develop talent, and connect embedded analysts to a central platform
  • Commercial Partner who understands how data connects to marketing performance, consumer behavior, and business outcomes
  • Clear Communicator who can translate technical complexity into business decisions at the executive level
Qualifications
  • 12+ years in data engineering, analytics, or data leadership roles
  • Significant experience leading multi-disciplinary data organizations including engineers and analysts
  • Expert-level knowledge of Databricks and modern lakehouse architecture
  • Strong SQL and Python fluency; ability to review and guide technical work
  • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms)
  • Proven ability to connect data strategy to measurable business outcomes
  • Experience in consumer products, retail, or D2C environments preferred
Why POLYWOOD

You'll be building the data foundation for a category-defining brand at a moment of real strategic ambition. The platform is in place. The business appetite is there. This is a chance to build something that actually matters.

Requirements:What We're Looking For
  • Technical Leader who is credible with engineers and can make sound architectural decisions, not just manage up
  • Organizational Builder who knows how to structure a data org, develop talent, and connect embedded analysts to a central platform
  • Commercial Partner who understands how data connects to marketing performance, consumer behavior, and business outcomes
  • Clear Communicator who can translate technical complexity into business decisions at the executive level
Qualifications
  • 12+ years in data engineering, analytics, or data leadership roles
  • Significant experience leading multi-disciplinary data organizations including engineers and analysts
  • Expert-level knowledge of Databricks and modern lakehouse architecture
  • Strong SQL and Python fluency; ability to review and guide technical work
  • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms)
  • Proven ability to connect data strategy to measurable business outcomes
  • Experience in consumer products, retail, or D2C environments preferred

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