{"id":2509178,"url":"https://alion.io/job/suntory-global-spirits-director-data-engineering","title":"Director Data Engineering","company":{"id":1758036,"name":"Suntory Global Spirits","domain":"suntoryglobalspirits.com","url":"https://alion.io/company/suntoryglobalspirits","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","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":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":161000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3358},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Incident Management","optional":false},{"name":"Least Privilege","optional":false}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-14T17:27:23Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day.\nWhat makes this a great opportunity?\nThis is a director-level leadership role with a clear mission: build a scalable, reliable and reusable data engineering capability that makes trusted data available when and where the business needs it.\nThe Director, Data Engineering sets the enterprise engineering strategy, operating model and standards. The role connects business priorities, data product roadmaps and reference architecture to a reliable portfolio of pipelines, data products and platform capabilities that move data securely from source to consumption.\nYou will lead the chapter of data engineers and ETL developers, deploying talent into cross-functional product and initiative teams. You will partner with Data Product Management, Platform and Architecture, Governance, BI, AI, Digital Products, Security, Privacy and business teams to ensure technical quality, predictable delivery and reliable operations globally.\nThe organization is developing a federated hub-and-spoke model: the central Data & Analytics Hub builds reusable capabilities and supports cross-functional initiatives, while brands, markets and functions own priorities, data domains and value realization. This role creates one engineering chapter and effective hand-offs without fragmenting architecture, standards or tooling.\nSuccess is measured by data reliability, quality, freshness and availability; predictable delivery; faster source onboarding and data-product delivery; reuse, automation, talent strength and disciplined cost - not by the number of pipelines or volume of code produced.\nRole Responsibilities\nMission of Role\nThe Director, Data Engineering leads the enterprise capability that collects, integrates, transforms and serves data at scale. The role sets strategy and standards, operates secure and reusable pipelines and products, develops the engineering chapter and turns priority outcomes into sustainable data capabilities.\nEngineering strategy, operating model and portfolio\nDevelop the multi-year data engineering strategy and roadmap, aligned to Data & Analytics priorities with focus in commercial, data product roadmaps, reference architecture and platform capabilities; recommend investments and trade-offs to senior leadership.\nTranslate the initiative and data product portfolio into transparent engineering capacity, resource and delivery plans, with clear dependencies, estimates, sequencing and commitments.\nDefine the engineering component of the federated hub-and-spoke model, including chapter accountabilities, decision rights, engagement models, delivery hand-offs and support expectations.\nPartner with data product owners, product managers and business initiative owners in a two-in-the-box model to shape requirements, assess feasibility, inform business cases and sequence delivery around outcomes.\nSet the balance of internal talent, strategic partners and managed services, protecting critical enterprise knowledge while using external capacity and expertise effectively.\nEstablish engineering metrics and operating rhythms for delivery, quality, reliability, reuse, productivity, cost and stakeholder outcomes; use evidence to improve priorities and execution.\nData pipelines, products and integration\nOversee the design, build and operation of enterprise data pipelines and curated data products aligned to architecture, domain roadmaps, standards and service levels.\nProvide scalable patterns for ingestion, integration, transformation and serving across batch, streaming, APIs and events, selecting the simplest approach that meets business and operational needs.\nDrive automation and reuse through standardized frameworks, shared components and common data assets, reducing duplicated transformation and accelerating delivery across teams.\nPrepare fit-for-purpose data for BI, AI, digital products and self-service users, with clear models, definitions, quality criteria and consumer expectations.\nOwn the lifecycle from discovery and source onboarding through build, testing, release, support and decommissioning, with clear ownership, documentation and service expectations.\nEngineering standards, reliability and operations\nSet common practices for design, coding, version control, peer review, automated testing, CI/CD, environment management and release governance across internal and partner teams.\nImplement DataOps and observability for data quality, freshness, lineage, pipeline health, performance and cost; define service-level objectives, alerts and production ownership.\nBuild resilient operations through incident, problem and change management, root-cause analysis, recovery planning, runbooks and continuous improvement.\nAutomate orchestration, testing, deployment, infrastructure configuration and repetitive operations to improve productivity, speed and consistency while reducing manual risk.\nManage performance, capacity and cloud consumption with Platform and Finance; optimize workload design and cost without compromising reliability, security or outcomes.\nArchitecture, governance and security by design\nPartner with Platform and Architecture to evolve reference patterns for integration, modeling, storage, processing and interoperability, translating the technology roadmap into engineering priorities.\nEmbed data quality, metadata, lineage, cataloging, retention and master-data requirements into pipelines and products, automating governance wherever possible.\nWork with data owners, stewards and product owners to define data contracts, domain ownership, acceptance criteria and quality KPIs, routing issues to accountable owners.\nCollaborate with Security, Privacy, Legal and Risk to implement least-privilege access, encryption, secrets management, auditability and compliant processing by design.\nGovern architecture exceptions, technical debt and technology lifecycle decisions pragmatically, preventing tool proliferation and inconsistent patterns while enabling delivery at pace.\nLeadership and collaboration\nLead and develop the enterprise data engineering chapter, including engineering managers, data engineers and ETL developers; set objectives, career paths, capability plans, hiring standards and expectations.\nDeploy engineers into cross-functional Agile teams while maintaining chapter-based technical leadership, coaching, quality standards, communities of practice and knowledge sharing.\nAct as the senior data engineering interface with executives, business functions, Product Management, Architecture, Governance, BI, AI, Digital Products and Technology Operations; make progress, risks and decisions transparent.\nLead strategic engineering partners and vendors across capability, delivery, commercial performance and knowledge transfer; assess emerging technologies for practical enterprise value.\nQualifications\n\nSignificant progressive experience leading enterprise data engineering, integration or cloud data platform capabilities in a global, complex organization.\nDemonstrated success building and developing high-performing engineering teams and leaders, including distributed internal teams and strategic partners.\nDeep technical understanding of cloud data architectures, including lakes, warehouses and lakehouses; distributed processing; relational and non-relational data; batch, streaming and APIs. Experience with GCP, BigQuery, Databricks or equivalent platforms is highly valued.\nStrong experience operating production data services using DataOps and DevOps, CI/CD, automated testing, observability, service-level objectives and disciplined incident management.\nSound judgment in data architecture, modeling, quality, metadata, lineage, security, privacy and governance, applying standards pragmatically and proportionately.\nExperience with product-oriented Agile delivery, portfolio prioritization and cross-functional teams, connecting engineering decisions to user needs and measurable business value.\nExcellent executive communication, stakeholder management and commercial skills, including investment planning, vendor evaluation, contract performance and cost stewardship.\nBachelor's degree in computer science, engineering, information systems or a related field, or equivalent practical experience; fluent English, written and spoken.\nAt Suntory Global Spirits, people are our number one priority, and we believe our people grow together in diverse and inclusive environments where their unique insights, experiences and backgrounds are valued and respected. Suntory Global Spirits is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, military veteran status and all other characteristics, attributes or choices protected by law. All recruitment and hiring decisions are based on an applicant’s skills and experience.\nWhile relocation, immigration, and/or tax compliance support are not guaranteed, we may offer assistance to successful candidates depending on factors such as role requirements in accordance with company guidelines.\nAt Suntory Global Spirits, people are our number one priority, and we believe our people grow together in diverse and inclusive environments where their unique insights, experiences and backgrounds are valued and respected. Suntory Global Spirits is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, military veteran status and all other characteristics, attributes or choices protected by law. 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