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Director Data Engineering Jobs in Indiana (NOW HIRING)

POLYWOOD ® is looking for a Director of Data Engineering who thrives in a hands-on leadership environment and enjoys building scalable enterprise data platforms. This role is perfect for someone who ...

We are seeking a visionary Director, Data Engineering to architect the "data set of the future." This role is not just about reporting; it is about building the scalable, AI-ready infrastructure that ...

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Director, Data Platforms & Engineering Location: United States (Remote) Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana ...

Director, Data Architecture Location: United States (Remote) Interested applicants must reside in ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Job Title: Director, Data Governance Reports to: Chief Digital & Data Officer Location: United ... Partner with platform and engineering teams to implement governance capabilities into core data ...

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Description Our business technology team is enhancing its data engineering capabilities with focus ... direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants ...

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Director Data Engineering information

See Indiana salary details

$69.5K

$185.3K

$241.7K

How much do director data engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for director data engineering in Indiana is $185,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,600.00 and $240,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive in the Director Data Engineering position, and why are they important?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are the most commonly searched types of Data Engineering jobs in Indiana? The most popular types of Data Engineering jobs in Indiana are:
What are popular job titles related to Director Data Engineering jobs in Indiana? For Director Data Engineering jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Director Data Engineering jobs? Cities in Indiana with the most Director Data Engineering job openings:
Infographic showing various Director Data Engineering job openings in Indiana as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $185,278 per year, or $89.1 per hour.
Director | Data Engineering

Director | Data Engineering

POLYWOOD

Syracuse, IN • On-site

Full-time

Posted 24 days ago


Polywood rating

5.2

Company rating: 5.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

39th of 46 rated furniture manufacturers


Job description

Description:


HELP BUILD THE DATA FOUNDATION THAT POWERS SMARTER DECISIONS.

POLYWOOD® is looking for a Director of Data Engineering who thrives in a hands-on leadership environment and enjoys building scalable enterprise data platforms. This role is perfect for someone who loves designing architecture, establishing governance, and transforming raw ingestion pipelines into a structured, reliable Databricks lakehouse that powers enterprise reporting, operational analytics, and Direct-to-Consumer performance measurement.



What You’ll Do:

• Design and implement a scalable lakehouse medallion architecture within Databricks.

• Establish ingestion, canonical, and business-ready data modeling layers with clear standards and naming conventions.

• Build and maintain structured, governed fact and dimension models for enterprise reporting.

• Oversee ingestion pipelines using Fivetran, Airbyte, and custom integrations while optimizing cost and performance.

• Develop and manage SQL and Python transformation jobs including incremental processing, upsert logic, and snapshot modeling.

• Implement orchestration, monitoring, data quality validation, and failure recovery processes.

• Define enterprise data governance standards including access controls and reconciliation processes.

• Integrate ERP, Shopify, GA4, Google Ads, Meta Ads, and catalog marketing data into unified customer and order models.

• Lead and mentor a small team of data and analytics engineers while setting coding and review standards.

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What You Bring:

• 7+ years of experience in data engineering, analytics engineering, or data architecture.

• 3+ years leading data platform or warehouse initiatives.

• Expert-level expertise in Databricks and medallion architecture design.

• Advanced SQL proficiency and strong Python experience for data transformations.

• Experience designing fact/dimension models and implementing incremental pipelines and snapshot logic.

• Strong understanding of data governance, access control, and quality frameworks.

• Experience integrating commerce, finance, ERP, and marketing data sources into structured models.

• Strong communication skills and the ability to collaborate across technical and business teams.

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Bonus Skills:

• Experience with Direct-to-Consumer and commerce analytics environments.

• Experience optimizing pipeline cost and performance within cloud data platforms.

• Experience formalizing enterprise metric definitions across finance and operations.

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Why You’ll Love Working With Us:

• Valued Contribution: Build the foundational data infrastructure that powers enterprise decisions.

• Growth Opportunities: Shape standards, architecture, and long-term data strategy.

• Team Environment: Partner with business leaders and analytics teams to deliver trusted insights.

• Purpose Driven Work: Enable scalable analytics that strengthen operations, finance, and commerce performance.

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About Us

At POLYWOOD®, we design and build outdoor furniture that brings people together and stands the test of time. We do this using sustainable materials like our genuine POLYWOOD® lumber made from recycled plastics. But the strength of our products starts with the strength of our systems and our people.
This role plays an important part in operationalizing our Databricks investment by building a cohesive, governed, and scalable enterprise data warehouse. By establishing reliable ingestion, transformation, and modeling standards, you help ensure our organization can make confident, data-driven decisions at scale.


Check out this video - Genuine Polywood
If this sounds like the kind of impact you want to make, we’d love to meet you! Apply today!

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POLYWOOD is an equal opportunity employer. POLYWOOD evaluates qualified applicants without regard to characteristics protected by federal, state, or local laws. #ZR

Requirements:



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