<h1>Software Engineer, Data Quality</h1><h2>Company Overview</h2><p>Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured commitments. Thousands of customers rely on Archera's innovative FinTech solutions to increase their cloud ROI while accelerating revenue objectives and service agility.</p><p>Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately predict and plan infrastructure growth, maximize commitment-based savings, and hedge against market demands and evolving cloud service provider offerings. Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ecosystem, to help customers execute financially prudent cloud strategies.</p><h2>Position Overview</h2><p>Customers commit real money based on the numbers Archera shows them, so a wrong number is not a broken dashboard — it is a wrong financial decision. Getting it right is genuinely hard: our product spans a large surface area, and AWS, Azure, and Google Cloud each represent billing in a different format. As a Software Engineer focused on data quality, you will build the automated validation, reconciliation, and anomaly detection that keeps problems from ever reaching a customer, and you will become one of the few engineers anywhere who knows how all three providers really model their billing data.</p><h2>Key Responsibilities</h2><ul><li>Go deep on the product's data model and on how AWS, Azure, and Google Cloud each format billing differently, documenting what you find rigorously.</li><li>Build automated data validation, reconciliation, and anomaly detection, including the workflows (Argo or equivalent) that run the checks.</li><li>Investigate data-quality problems to root cause, fix them, and automate the check that prevents a repeat.</li><li>Replace the manual data checks the team runs before customer demos with durable, automated coverage.</li><li>Extend test automation to critical product surfaces.</li><li>Work with sales and customer success on live data questions, diagnosing and resolving issues as they surface.</li><li>Use AI tooling to accelerate investigation, check generation, and anomaly triage.</li></ul><h2>Qualifications</h2><ul><li>3+ years of software or data engineering experience, or equivalent hands-on experience building and shipping code.</li><li>Strong attention to detail — you notice the number that is subtly wrong, and you care because someone is budgeting against it.</li><li>SQL fluency for transformation and reconciliation, plus comfort scripting. Python is preferred; a strong engineer who knows SQL and another language and will pick up Python works well here.</li><li>A preference for automating a check rather than repeating it.</li><li>Interest in becoming the definitive expert on how three cloud providers each represent billing — knowledge very few engineers have.</li><li>Comfort with AI tooling, used with judgment, to raise coverage and move faster.</li></ul><h3>Nice-to-Haves</h3><ul><li>Cloud billing across AWS, Azure, or Google Cloud, FinOps, or other financial-data domains.</li><li>Data-quality frameworks such as dbt tests, Great Expectations, or Soda.</li><li>Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience.</li><li>Test automation and CI for data or application surfaces.</li><li>Experience making data trustworthy for customer-facing or revenue-critical use.</li></ul><h2>Benefits</h2><ul><li>Competitive salary and equity package</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) plan</li><li>Flexible PTO and company holidays</li><li>Remote-first culture</li><li>Opportunity to shape and scale a category-defining FinTech platform</li></ul>