[All remote jobs](https://jobicy.com/jobs.md)Open role[![Zartis logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/9bd0869f-221.webp)](https://jobicy.com/company/zartis.md)Remote opportunity at[Zartis](https://jobicy.com/company/zartis.md) # Lead Data Architect Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/zartis.md)Share29 Aug 2026Published45Listing views2Application actions29 Sep 2026Apply before Opportunity details ## About this role. AI SummaryThis Lead Data Architect role leads discovery and canonical data modeling for a new media-sector data platform. The position requires assessing complex, partly undocumented legacy datasets and translating business concepts into clear entities, relationships, measures, schemas, and source-to-target mappings. The architect will serve as the technical owner of the model during discovery and early delivery, partnering closely with business stakeholders and distributed data engineering teams. Success depends on strong SQL-based data profiling, documentation discipline, stakeholder alignment, and practical knowledge of enterprise analytics, lakehouse, and cloud data environments. The role is fully remote and offers professional development, training, mentoring, and wellbeing support. ## 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 senior technical leadership role involving ambiguous legacy data, enterprise-scale canonical modeling, and the need to establish shared definitions across diverse stakeholders. The architect must independently convert discovery findings into delivery-ready models and sequencing for multiple engineering workstreams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$180,000US market range$150k–$210k0$231k AI insightNo salary range was provided. For the U.S. market, a Lead Data Architect with enterprise data modeling, SQL, cloud/lakehouse, and stakeholder leadership responsibilities would typically command approximately $150,000-$210,000 annually; a reasonable estimated median is $180,000 USD, with consulting engagement structure, geography, and media-domain expertise affecting total compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data Architecture](https://jobicy.com/jobs?search_keywords=Data%20Architecture.md)[Canonical Data Modeling](https://jobicy.com/jobs?search_keywords=Canonical%20Data%20Modeling.md)[Dimensional Modeling](https://jobicy.com/jobs?search_keywords=Dimensional%20Modeling.md)[Data Discovery](https://jobicy.com/jobs?search_keywords=Data%20Discovery.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Source-to-Target Mapping](https://jobicy.com/jobs?search_keywords=Source-to-Target%20Mapping.md)[Data Lineage](https://jobicy.com/jobs?search_keywords=Data%20Lineage.md)[Data Governance](https://jobicy.com/jobs?search_keywords=Data%20Governance.md)[Lakehouse Architecture](https://jobicy.com/jobs?search_keywords=Lakehouse%20Architecture.md)[AWS/Snowflake](https://jobicy.com/jobs?search_keywords=AWSSnowflake.md) Sample interview questionsHow would you approach discovery for a canonical data platform when source-system documentation is incomplete?I would begin by identifying priority business outcomes, key domains, and critical use cases with stakeholders. I would then inventory source systems, profile representative data with SQL, validate findings with domain experts, and document assumptions, ownership, lineage, quality concerns, and unresolved questions. The resulting evidence would drive an iterative canonical model rather than relying solely on legacy documentation. What does defining the grain of a data model mean, and why is it important? Grain defines what one row or record represents, such as one audience interaction, one content view, or one daily campaign result. It is essential because it determines valid relationships, aggregation behavior, measures, and joins. Establishing grain early prevents duplicate counts, incompatible metrics, and implementation ambiguity. How do you ensure a canonical data model is usable by data engineers rather than only conceptually correct? I involve engineering teams throughout discovery and validate the model against actual source structures, transformation constraints, data volumes, and target-platform capabilities. I provide implementable artifacts including logical and physical schemas, entity definitions, mapping specifications, transformation rules, lineage, quality checks, and prioritized delivery increments. Regular design reviews help identify impractical assumptions before development begins. How would you handle conflicting definitions of a key business metric across stakeholder groups? I would make the competing definitions explicit, identify the business decisions each definition supports, and trace differences to grain, time windows, filters, or source logic. I would facilitate an ownership and governance discussion to agree on an approved canonical definition, while preserving documented variants where they remain necessary. The final decision, rationale, and calculation logic should be versioned and accessible to all users. What data quality risks would you evaluate when mapping legacy datasets into a target canonical model? I would assess completeness, uniqueness, validity, consistency, timeliness, referential integrity, historical retention, and reconciliation to known business totals. I would also examine identifier stability, duplicate records, changing source semantics, null handling, code-set differences, and transformation loss. Each material issue should have an assigned owner, severity, remediation approach, and documented effect on downstream reporting or products. ## The company and our mission: Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact. Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes. With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders. We are looking for a Lead Data Architect to work on a project in the media sector. ## The project: Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation. You will be part of a distributed team developing new technologies to solve real business problems building a new canonical data platform. The focus is on discovery and data modelling: understanding existing data, working with business and technical stakeholders, and defining a clear, consistent canonical model. You will help map existing datasets and legacy structures into the target model, identify gaps and inconsistencies, document key decisions and work closely with engineers to turn the model into an actionable delivery plan. ## What you will do: * Lead discovery and data modelling for a new canonical data platform. * Work with business users, domain experts, and engineering teams to understand data requirements, business concepts, and use cases. * Inventory and analyse existing datasets, feeds, schemas, and legacy data structures, particularly where documentation may be incomplete. * Define the grain, entities, relationships, semantics, and key measures of the canonical data model. * Establish clear and consistent definitions for key business entities and measures. * Map existing source data into the target canonical model, identifying gaps, inconsistencies, and data quality issues. * Document schemas, source-to-target mappings, lineage, data definitions, assumptions, and key architectural decisions. * Work closely with data engineering teams to turn the canonical model and mappings into implementable solutions. * Identify key risks, dependencies, and gaps within the data architecture and help define appropriate approaches to address them. * Help sequence and structure the work so engineering teams can execute in parallel once the model is sufficiently understood. * Act as the technical owner of the canonical data model throughout discovery and early delivery. ## What you will bring: * Strong experience in data architecture and data modelling, including canonical and dimensional modelling across complex business domains. * Proven ability to understand complex data landscapes and translate business concepts, source structures, and requirements into clear, coherent data models that engineering teams can build against. * Experience analysing and profiling data across multiple sources, including complex or poorly documented legacy environments, to establish structure, quality, relationships, meaning, and usage. * Strong understanding of data entities, relationships, grain, semantics, business measures, source-to-target mapping, and data lineage. * Strong SQL skills, with the ability to explore and profile source data as part of discovery and modelling activities. * Experience defining source-to-target mappings and identifying gaps, inconsistencies, and data quality issues across diverse data sources. * Experience translating business and technical stakeholder requirements into clear data definitions, models, mappings, and architectural decisions. * Strong stakeholder engagement skills, with the ability to move confidently between conversations with business users, domain experts, architects, and engineering teams. * Experience working closely with data engineering teams to ensure models and mappings can be translated into practical, implementable solutions. * Experience documenting complex data models, schemas, mappings, lineage, assumptions, and architectural decisions using appropriate data modelling and documentation tools. * Experience working with large-scale analytics or enterprise data platforms and an understanding of modern lakehouse architectures. * Exposure to cloud-based data ecosystems, ideally AWS and/or Snowflake; familiarity with AWS data services such as S3 or Glue would be advantageous. * Experience working with media, audience, ad-tech, or content analytics data would be advantageous. * Excellent communication and documentation skills, with the ability to bring structure and clarity to ambiguous and complex data problems. * Intellectual curiosity and a proactive approach to understanding how data is created, used, and interpreted across a business. ## Nice to have: * Experience with large-scale analytics platforms. * Experience with media, audience, or similarly complex behavioural data would be a plus. ## What we offer: * 100% Remote Work * WFH allowance: Monthly payment as financial support for remote working. * Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression. * Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events. * Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both. * Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well. * Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests. Show more [Apply now >](https://jobicy.com/jobs/152045-lead-data-architect.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. Matched by job category10 related opportunities[Data Science & Analytics](https://jobicy.com/categories/data-science.md) [Browse all jobs](https://jobicy.com/jobs.md) * ![Quora logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2020/09/WRILS-200916172339-629302.jpg) Quora Aug 29 ### [Data Scientist – Quora](https://jobicy.com/jobs/151982-data-scientist-quora.md) [Quora is a privately held, “remote-first” company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About… * ![Liberty Mutual logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/08/a0f68d769896c0f098621799a6396382.jpeg) Liberty Mutual Aug 29 ### [Director I, Data Science, Enterprise Data & Data Science](https://jobicy.com/jobs/148333-director-i-data-science-enterprise-data-data-science.md) Description We’re seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this… * ![Meta logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/750f86a9-221.jpeg) Meta Aug 29 ### [Data Scientist, Analytics (Technical Leadership)](https://jobicy.com/jobs/141971-data-scientist-analytics-technical-leadership.md) We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and… * ![H1 logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/8f84b1ed-221.jpg) H1 Aug 29 ### [Principal Analyst, Data Integration](https://jobicy.com/jobs/147852-principal-analyst-data-integration.md) At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally…. * ![RevenueCat logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/09/e9b2999e3e7950f153097909d027dda2.jpg) RevenueCat Aug 28 ### [Senior Data Scientist, Fraud & Risk](https://jobicy.com/jobs/151942-senior-data-scientist-fraud-risk.md) RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly… * ![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg) Databricks Aug 28 ### [Delivery Solutions Architect](https://jobicy.com/jobs/151940-delivery-solutions-architect.md) CSQ227R121 Locations – Sweden, Denmark, Finland (Hybrid/Remote) At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems with the Databricks Data Intelligence… * ![RevenueCat logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/09/e9b2999e3e7950f153097909d027dda2.jpg) RevenueCat Aug 28 ### [Senior Data Scientist, RC Capital](https://jobicy.com/jobs/143120-senior-data-scientist-rc-capital.md) RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly… * ![Tiger Analytics logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/c52062f9-221.png) Tiger Analytics Aug 28 ### [Manager/ Sr. Manager – BI Consulting (Life Sciences/Pharma)](https://jobicy.com/jobs/142623-manager-sr-manager-bi-consulting-life-sciences-pharma.md) Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring… * ![GT logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/6f6103a3-221.jpeg) GT Aug 27 ### [Senior Azure Data Engineer | KD Pharma](https://jobicy.com/jobs/151908-senior-azure-data-engineer-kd-pharma.md) GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in… * ![Quantum Metric logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/52363ead-221.jpg) Quantum Metric Aug 27 ### [Senior/Strategic Digital Analytics Consultant – UK](https://jobicy.com/jobs/151829-senior-strategic-digital-analytics-consultant-uk.md) 😎 Our Culture Quantum Metric’s number one objective is happy people, diverse and inclusive culture. We’re passionate about empowering our people to become the best version of themselves, offering coaching…