{"id":2125484,"url":"https://alion.io/job/evercore-experienced-director-lead-enterprise-data-architecture","title":"Experienced Director, Lead, Enterprise Data Architecture","company":{"id":1834354,"name":"Evercore","domain":"evercore.com","url":"https://alion.io/company/evercore-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oleeo","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Spark","optional":false},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:29:29Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-27T15:48:10Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Location: New York /*generated inline style */\nJob description\n\n>\nWhat is the Position?\nEvercore seeks to hire Director, Lead, Enterprise Data Architecture to serve as the technical authority for data engineering standards and platform architecture within Global Technology’s AI, Data & Analytics organization. This role is responsible for defining and governing how data pipelines, data products, and AI workloads are architected, built, secured, and operated on the firm’s Databricks platform.\nThis high-impact role sits at the intersection of platform engineering, distributed systems design, and developer experience. The ideal candidate will bring deep expertise in Databricks, Spark, enterprise data governance and event-driven architectures for regulated environments.\nPrimary Responsibilities:\nWe are seeking an experienced technical leader with deep Databricks expertise to define strategy and establish architectural standards across the platform. This role will partner closely with business, technology, security, and infrastructure leaders to ensure the platform is scalable, compliant, cost-efficient, and aligned to long-term enterprise objectives. Responsibilities include, but are not limited to the following:\nDefine and govern enterprise architecture standards for batch and streaming data pipelines on Azure Databricks, including Spark optimization, structured streaming, and pub/sub integration (e.g., Event Hub, Kafka).\nDesign and maintain standardized internal SDKs and reusable frameworks for ETL development.\nEstablish the data engineering SDLC, including schema evolution policies, artifact versioning, environment promotion controls and CI/CD standards.\nDesign secure storage architectures leveraging Azure Data Lake Storage Gen2 (ADLS Gen2).\nArchitect and administer secure, scalable Databricks environments, including workspace segmentation strategies, Unity Catalog design, role-based and attribute-based access controls, row/column-level security, and compute isolation policies.\nDesign and implement enterprise metadata, observability, and data quality frameworks, including automated lineage capture, SLA monitoring, operational telemetry, and cost attribution models.\nEstablish data product standards, including schema contract enforcement, versioning policies, backward compatibility requirements, domain ownership models, and publish/subscribe consumption patterns.\nDefine best practices for exploratory and non-production workloads, including guardrails for data scientist experimentation, compute policy controls, secure data access boundaries, and promotion of validated assets into production pipelines.\nPartner with Data Scientists and Machine Learning Engineers to define the lifecycle from experimentation to production, including feature engineering standards, model registry governance, reproducibility controls, and approved deployment pathways.\n\nSpecific Qualifications:\nMinimum 10+ years of experience in data engineering, enterprise data platform architecture, or large-scale analytics platforms.\nMinimum 5+ years of hands-on experience designing and scaling Databricks and Spark-based platforms in enterprise environments.\nDeep expertise in Apache Spark (performance tuning, optimization strategies, structured streaming, distributed compute patterns).\nExperience architecting Azure cloud infrastructure.\nProven experience architecting event-driven and streaming data systems using pub/sub technologies such as Kafka or equivalent platforms.\nDemonstrated experience designing enterprise-grade ETL/ELT frameworks and internal SDKs for standardized pipeline development and deployment.\nStrong experience implementing Unity Catalog or equivalent enterprise data governance tooling, including fine-grained access control models and regulatory audit readiness.\nExperience operating within regulated or highly controlled environments with formal compliance and audit requirements.\nBachelor’s degree in Computer Science, Engineering, or related quantitative discipline required; advanced degree preferred.\nThis position requires valid United States work authorization and is not eligible for employer visa sponsorship.\n\nExpected Base Salary Range: $210,000 - $230,000\nIn addition to a competitive base salary, employees may be eligible to receive a discretionary bonus delivered in the form of cash and/or deferred equity. Evercore also offers a variety of benefits and programs, subject to eligibility. These include, but are not limited to:\nMedical, prescription, dental, and vision insurance, including healthcare savings and reimbursements accounts\n401(k) Retirement Plan \nLife and disability insurance, including additional voluntary financial protection insurance\nWell-being resources and programs, including mental health and mindfulness programs, digital wellness platforms, well-being events, and targeted on-site health services\nFamily-building and family-support benefits\nPaid parental, caregiver, marriage and bereavement leave\nCommuter benefits, health club membership discounts, and other corporate discounts\nPaid holidays, vacation days, personal days, sick days, and volunteer opportunities\n\nid=\"form_7a9f649e-120d-4b2b-8a94-c2508b14075e_label_97925_1\"\nclass=\"form_row form_label hform_label \"\n>\nAbout Evercore: Evercore (NYSE: EVR) is a premier global independent investment banking advisory firm. We are dedicated to helping our clients achieve superior results through trusted independent and innovative advice on matters of strategic significance to boards of directors, management teams, and shareholders - including mergers and acquisitions, shareholder advisory, restructurings, and capital structure. Evercore also assists clients in raising public, private capital, delivers equity research, equity sales and agency trading execution, in addition to providing wealth and investment management services to high-net-worth individuals. Founded in 1995, the Firm is headquartered in New York and maintains offices and affiliate offices in major financial centers in North America, Europe, the Middle East, and Asia. For more information, please visit www.evercore.com.\nInclusion and Equal Opportunity Employment: Evercore is an equal employment opportunity employer and does not discriminate against individuals because of actual or perceived race, color, creed, religion, sex, pregnancy, national origin or ancestry, mental or physical disability, age, veteran status, military status, citizenship status, sexual orientation, gender identity or expression, genetic information, or immigration or citizenship status, or any other characteristic protected by applicable law (referred to as “protected status”), in accordance with applicable federal, state and local laws.\n\nView cookie / data protection and privacy policy\n\nU.S. Investment Banking and Evercore ISI businesses are conducted through Evercore Group L.L.C., a member of FINRA and SIPC | Terms and Conditions | Important Regulatory Information | GDPR Privacy Notice | CCPA Privacy Notice\n© Copyright 2026, Evercore. 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