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# Data Architect

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/cordance.md)Share9 Sep 2026Published42Listing views4Application actions9 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryCordance is seeking a senior Data Architect to create and lead a unified enterprise reporting and analytics architecture across its commerce software portfolio. The role will assess fragmented transactional databases, pipelines, BI tools, and customer-specific reports, then deliver a phased migration roadmap toward a governed warehouse or lakehouse platform. Key work includes canonical data modeling, data governance, CDC and replication patterns, semantic layers, data quality, lineage, and workload isolation from production systems. This hands-on technical leader will collaborate with DBAs, BI, Engineering, Product, Finance, Customer Success, and executives to preserve customer reporting while reducing duplication and technical debt. The position requires extensive experience in data architecture, modern cloud analytics platforms, SQL, ETL/ELT, and enterprise-scale migration leadership.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a high-complexity architecture leadership role spanning multiple acquired SaaS products, legacy reporting environments, and operational databases. Success depends on making pragmatic technical tradeoffs while coordinating migration, governance, and adoption across many technical and business stakeholders.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$165,000US market range$140k–$200k0$220k

AI insightNo base salary was disclosed; the amounts in the posting refer to retirement matching and a remote-work stipend, not pay for the role. Estimated US market compensation for a senior, remote Data Architect with enterprise migration and cloud data-platform responsibilities is approximately $140,000–$200,000 USD yearly, with an estimated midpoint of $165,000 USD.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Enterprise Data Architecture](https://jobicy.com/jobs?search_keywords=Enterprise%20Data%20Architecture.md)[Data Warehousing](https://jobicy.com/jobs?search_keywords=Data%20Warehousing.md)[Lakehouse Architecture](https://jobicy.com/jobs?search_keywords=Lakehouse%20Architecture.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[ETL/ELT](https://jobicy.com/jobs?search_keywords=ETLELT.md)[Data Governance](https://jobicy.com/jobs?search_keywords=Data%20Governance.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Change Data Capture](https://jobicy.com/jobs?search_keywords=Change%20Data%20Capture.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)

Sample interview questionsHow would you approach consolidating reporting from several products with different schemas and customer-specific reports?I would begin with a current-state inventory of source systems, report usage, dependencies, data owners, and service-level requirements. Next, I would define shared business entities and canonical metrics, prioritize high-value reporting domains, and create reusable governed datasets and semantic models. Migration would be phased, with parallel validation, customer-report compatibility plans, and measurable criteria for retiring legacy assets.

How do you decide between a cloud data warehouse and a lakehouse architecture?

I evaluate data volume and variety, BI and SQL workload patterns, latency requirements, governance needs, team operating capability, interoperability, and total cost. A warehouse can be the strongest choice for structured reporting and mature SQL-based analytics, while a lakehouse may be preferable when large-scale semi-structured data, data science, or open storage patterns are central. The decision should be documented through an architecture evaluation and, where needed, a focused proof of concept.

What patterns would you use to protect transactional database performance while enabling analytics?

I would separate analytical processing from production systems through replication or change data capture into an analytical platform. The design would include incremental ingestion, workload isolation, source-impact monitoring, backfill procedures, recovery processes, and freshness SLAs. I would also work with DBAs to validate indexing, retention, backup, and failover implications before production rollout.

How would you establish data governance without slowing delivery teams down?

I would focus governance on a small set of practical controls: named data owners, business definitions for priority metrics, role-based access, lineage for critical data products, quality thresholds, and lightweight change-management procedures. These controls should be embedded in delivery workflows and platform tooling rather than maintained as separate manual processes. Starting with high-impact domains builds credibility and allows governance to expand based on demonstrated value.

How would you measure whether the target data architecture is succeeding?

I would track migration milestones, adoption of governed datasets and common definitions, reductions in duplicate reports and production reporting load, data freshness and quality metrics, incident and recovery performance, platform cost transparency, and stakeholder satisfaction. I would also monitor whether teams can produce trusted cross-product operational, financial, customer, and executive reporting with less manual reconciliation.

Cordance is dedicated to accelerating the growth of vertically focused business-to-business (B2B) software-as-a-service (SaaS) companies through acquisition and long-term tactical and financial guidance. We’re experienced operators and subject-matter experts with a passion for software and building businesses. We partner with founders to help them scale their businesses and realize their companies’ full potential.

We look for businesses with strong leadership and high potential for profitable growth, and work together to increase year-over-year revenue, company efficiency, and impact. Cordance envisions that all companies we work with achieve their full potential. We embrace what makes each company great and build on those foundations. We believe in elevating a company as it scales, delivering dignity to the organization and its employees, and sharing a passion for building a legacy.

### Position Overview

The Data Architect will define and lead the enterprise data architecture for Cordance Commerce, with primary responsibility for unifying reporting platforms, data models, and analytics capabilities across Solutions, Secure Retail, Upright, and Pearl Dive. This is a hands-on technical leadership role for someone who can turn fragmented operational data and customer-specific reporting into a scalable, governed, and reliable data platform.

The role partners closely with Database Administrators, Business Intelligence professionals, Engineering, Product, Finance, Customer Success, and business leaders. The Data Architect will establish a practical migration strategy that separates analytical workloads from transactional systems, protects product performance, preserves critical customer reporting, and enables a trusted source of data across the portfolio.

### Key Responsibilities

* Own the target-state data architecture and roadmap for a unified reporting and analytics platform across Cordance Commerce products.
* Assess current transactional databases, data pipelines, reporting tools, standard BI reports, and customer-specific reports; document dependencies, duplication, performance risks, and migration constraints.
* Define a shared enterprise data model, canonical business definitions, master-data strategy, and system-of-record ownership for core entities such as customer, item, store, employee, transaction, inventory, donation, processing, and e-commerce activity.
* Design the separation of transactional and analytical workloads using fit-for-purpose patterns such as a cloud data warehouse or lakehouse; evaluate platforms including Snowflake and recommend the appropriate solution based on scale, security, cost, operability, and business needs.
* Create the phased migration strategy for consolidating reporting from Solutions, Secure Retail, Upright, and Pearl Dive while maintaining business continuity and customer commitments.
* Develop patterns and standards for data ingestion, transformation, orchestration, semantic models, APIs, data quality, lineage, metadata, retention, archival, and observability.
* Partner with BI professionals to rationalize the Solutions standard report catalog and reduce the support burden created by hundreds of Secure Retail customer-specific reports through reusable datasets, governed self-service analytics, and configurable reporting patterns.
* Guide DBAs and engineering teams on database architecture, PostgreSQL and Microsoft SQL modernization, replication or change-data-capture patterns, performance isolation, backup, recovery, and operational readiness.
* Establish data governance practices covering data ownership, access controls, privacy, security, auditability, quality thresholds, and change management.
* Lead technical discovery, architecture reviews, proofs of concept, and vendor evaluations; translate findings into actionable designs, sequencing, estimates, risks, and investment recommendations.
* Provide hands-on technical guidance to delivery teams, review implementation designs, and ensure new product capabilities align with the target architecture instead of creating additional data silos.
* Enable trusted enterprise dashboards and cross-product reporting that support operational, customer, financial, and executive decision-making.

Competencies:

* Enterprise Data Architecture: Converts complex, fragmented data estates into pragmatic target-state architectures and phased roadmaps.
* Technical Depth: Designs modern warehouses or lakehouses, dimensional and relational models, pipelines, semantic layers, and reporting platforms.
* Business Translation: Connects architecture decisions to customer value, product performance, operational efficiency, and measurable business outcomes.
* Data Governance: Establishes clear ownership, definitions, lineage, quality, security, and lifecycle controls without creating unnecessary bureaucracy.
* Migration Leadership: Plans incremental transitions that protect customer reporting and production stability while retiring duplication and technical debt.
* Influence and Collaboration: Builds alignment across DBAs, BI, Engineering, Product, Customer Success, and executive stakeholders.
* Ownership: Drives decisions through implementation, manages ambiguity, and remains accountable for platform adoption and results.
* AI and Analytics Readiness: Designs governed, reusable data foundations suitable for advanced analytics and AI-enabled workflows.

### Required Qualifications

* Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or a related field, or equivalent practical experience.
* 8+ years of experience in data engineering, database architecture, analytics engineering, or business intelligence, including 3+ years in a data architecture or senior technical leadership role.
* Demonstrated experience designing enterprise data warehouses, lakehouses, or analytical platforms and migrating data from multiple operational systems.
* Strong data-modeling expertise across conceptual, logical, and physical models, including dimensional modeling and normalized transactional designs.
* Hands-on proficiency with SQL, relational databases, ETL/ELT patterns, orchestration, data quality, metadata, lineage, and BI semantic models.
* Experience separating reporting workloads from high-volume transactional systems and designing for performance, resilience, scalability, and cost control.
* Experience with cloud data platforms and modern data integration patterns, including APIs, replication, and change data capture.
* Strong written and verbal communication skills, including the ability to present architecture decisions and tradeoffs to technical and non-technical audiences.

### Preferred Qualifications

* Hands-on experience with Snowflake and at least one major cloud platform such as AWS, Azure, or Google Cloud.
* Experience with PostgreSQL and Microsoft SQL, including modernization or migration initiatives.
* Experience consolidating reporting platforms following acquisitions or across a multi-product SaaS portfolio.
* Experience rationalizing large libraries of standard and customer-specific reports and enabling governed self-service analytics.
* Familiarity with retail, point-of-sale, inventory, e-commerce, donation, or thrift/resale data domains.
* Knowledge of data privacy, security, role-based access, audit, retention, and compliance practices.
* Experience enabling machine learning, generative AI, or agentic AI use cases through governed enterprise data products.
* Relevant cloud, Snowflake, data-management, or architecture certification is a plus.

What We Offer

* Work with a mission-driven team building impactful software solutions for the thrift and resale industry.
* Opportunity to shape shared technology capabilities across a growing portfolio of commerce products.
* Collaborative culture that values innovation, accountability, continuous learning, and transparency.
* Competitive compensation, benefits, and opportunities for career growth.

Success Measurements

Architecture & Roadmap

* Completes an agreed current-state assessment and target-state architecture covering all Commerce reporting platforms and critical data domains.
* Delivers an approved, sequenced migration roadmap with clear dependencies, costs, risks, and ownership.

Unified Data & Reporting

* Establishes common business definitions and governed data models that are adopted by reporting and product teams.
* Reduces duplicated datasets and one-off reporting solutions while preserving priority customer capabilities.
* Enables reliable cross-product operational and executive reporting from trusted data sources.

Performance, Reliability & Quality

* Moves resource-intensive analytics away from transactional systems where appropriate and measurably reduces reporting-related production impact.
* Implements measurable data-quality, freshness, lineage, observability, and recovery standards for critical data products.

Migration & Adoption

* Achieves agreed migration milestones without material disruption to customer reporting or operational workflows.
* Builds strong adoption among DBAs, BI professionals, engineers, business users, and product stakeholders.

Governance & Cost Effectiveness

* Establishes accountable data ownership and access controls for priority domains.
* Provides transparent platform usage and cost metrics and demonstrates progress toward a scalable, supportable reporting model.

Please note that we do not accept unsolicited resumes, work on a Corp-to-Corp basis, or engage with non-vetted external agencies.

### Why Join Us?

At Cordance, we believe in taking care of our team members. When you join us, you’ll enjoy a comprehensive benefits package designed to support your health, financial well-being, and work-life balance:

* Health and Wellness:
Comprehensive Health Coverage: Coverage begins on your first day of employment.

* Retirement Savings:
401K Plan (US): We match 1:1 for the first 3% of contributions and 0.5:1 for the next 2%. Contribute 5% of your salary and get a 4% match. Choose from pre-tax and Roth options. You’re eligible the first of the month after 90 days and immediately vested.
* RRSP (CAN): We match 1:1 for the first 3% of contributions and 0.5:1 for the next 2%. Contribute 5% of your salary and get a 4% match. Choose from pre-tax and Roth options. You’re eligible the first of the month after 90 days and immediately vested.

* Paid Time Off:
Flexible PTO: Enjoy uncapped paid time off to balance your work and personal life.

* Parental Leave:
12 weeks paid leave for all employees.

* Remote Work Support:
Monthly Stipend: Receive $75 USD / $140 CAD per month for phone and internet if you work remotely.

* Holidays:
Generous Holiday Schedule: Benefit from an extensive list of holidays to recharge and spend time with loved ones.

Join us and be part of a company that values your contributions and well-being from day one!

### EEOC & ADA Statement:

### Cordance and its companies provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, creed, sex, nationality, ancestry, national origin, disability status, genetics, protected veteran status, affectional or sexual orientation, gender identity or expression, marital status, or any other characteristic protected by federal, state, or local laws.

### Cordance and its companies comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources.

### This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

### Final candidate must be able to pass a background check.

### To view applicant notices required under federal and state law, please visit: [https://cordance.co/applicant-notices/](https://cordance.co/applicant-notices/)

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>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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