meridianlink - Principal Data Architect - AI
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Requirements
• 12–15+ years of progressive experience in data engineering, data warehousing, and data architecture roles, with at least the most recent several years at the architect level. • Demonstrated experience as a Data Architect at a SaaS company in the FinTech or financial services software space (lending, banking, payments, capital markets, insurance, or a closely related domain). • Deep, hands-on expertise with Databricks and PySpark on Azure, including Delta Lake, Unity Catalog, structured streaming, and performance tuning at scale. • Production experience with Informatica Data Management Cloud (IDMC) — or comparable enterprise integration platforms — for ingestion, transformation, and metadata-driven pipelines. • Proven track record of designing and implementing detailed meta-models and end-to-end data models (conceptual, logical, and physical) that have shipped to production and stood up over time. • Strong command of dimensional modeling (Kimball), Data Vault 2.0, and modern lakehouse patterns, including the ability to choose the right approach for the right use case. • Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing the code, not just the diagrams. • Demonstrated experience implementing data governance, lineage, and metadata management programs (e.g., Unity Catalog, IDMC Data Governance, Collibra, Atlan, or similar). • Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g., GLBA, SOC 2, PCI, NIST, state lending regulations) and how they shape data design. • Excellent written and verbal communication skills; able to explain complex data concepts to engineers, executives, customers, and auditors. • Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting. • Experience supporting Loan Origination, deposit account opening, or other consumer lending workflows and the underlying data domains (applicants, applications, decisions, funding, servicing, credit data, fraud, KYC/AML). • Experience building feature stores or curated data products that serve both ML/AI workloads and BI consumers. • Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview) and their interplay with Databricks. • Experience with dbt, Great Expectations, or other modern data quality and transformation tooling layered on top of Databricks. • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience. • Lakehouse: Azure Databricks, Delta Lake, Unity Catalog, PySpark, SQL • Integration: Informatica Data Management Cloud (IDMC) • Cloud: Microsoft Azure (ADLS Gen2, Azure Data Factory, Event Hubs, Key Vault) • BI & Consumption: Modern BI tooling, embedded analytics, ML feature delivery • Governance: Unity Catalog, IDMC governance, lineage, and data quality controls
Responsibilities
• Define the enterprise data architecture: Own the conceptual, logical, and physical data models for MeridianLink's analytical and operational data platform, including source-aligned, integrated, and consumption-ready layers. • Build the meta-model: Design and maintain a meta-model that captures entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs — and make sure it is wired into our tooling, not stuck in a slide deck. • Drive the lakehouse strategy: Architect our medallion (bronze / silver / gold) Delta Lake patterns on Databricks; define standards for partitioning, clustering, schema evolution, slowly changing dimensions, and historical reproducibility. • Be hands-on: Write PySpark, SQL, and Delta Lake code. Build reference implementations, prototype patterns, review pull requests, and personally model critical domains rather than delegating every detail. • Lead data integration design: Set patterns for ingestion through Informatica Data Management Cloud (IDMC) and direct Databricks pipelines, including CDC, batch, streaming, and API-based sourcing from our SaaS products and third-party systems. • Champion data governance and lineage: Partner with data governance, security, and compliance leaders to operationalize cataloging, lineage, classification, masking, and access controls across the platform (Unity Catalog, IDMC, and adjacent tools). • Standardize data modeling practices: Establish the standards, naming conventions, and review processes used by the Data Engineering team. Coach engineers on dimensional modeling, Data Vault, and other techniques where they best fit the use case. • Partner across the business: Work closely with Product, Engineering, Analytics, ML, Finance, Risk, and Customer-facing teams to translate business needs into durable data designs. • Influence the roadmap: Identify gaps in tooling, capability, and skill; propose investments; and drive multi-quarter initiatives that materially improve how MeridianLink uses its data.
Benefits
• $126K – $214.9K • MeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process. • It is not typical for offers to be made at or near the top of the salary range. The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location. • t is not typical for offers to be made at or near the top of the salary range. • Meridianlink offers: • Insurance coverage (medical, dental, vision, life, and disability) • Flexible paid time off • 401(k) plan with company match • All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • If above question is "Other" please add the source below. • I prefer not to answer • Black or African American • Hispanic, Latino, or Spanish origin • Indigenous Peoples, First Nations, Native American, or Alaska Native • Native Hawaiian or Other Pacific Islander • White / Caucasian • Middle Eastern or North African • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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