[C3I] Data Architect

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

Project – the aim you’ll have We are the Data Analytics Global Capability at Software Mind . We design, build and maintain data and analytics solutions for clients across industries: financial services, telco, media entertainment, retail, manufacturing, gaming, healthcare and more. Our projects run on modern data platforms, mainly Snowflake and Databricks on Azure, AWS and GCP, as well as on-premises and hybrid environments. Role – how you’ll contribute Architecture Delivery: Assess the client’s current data landscape and design target-state architectures (cloud, hybrid, on-prem) aligned with their business goals. Select technologies based on the client’s needs, constraints and existing stack, with Snowflake and Databricks as our core platforms. Design lakehouse, warehouse and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming and API integrations. Design data models (conceptual, logical, physical) using Kimball, Data Vault or 3NF, as well as semantic layers for BI and AI. Define security (IAM, encryption, masking, row-level security), HA/DR, performance and cost optimization. Build data governance foundations: catalog, metadata, lineage, data quality and data contracts. Make sure platforms are ready for advanced analytics, ML, GenAI and real-time use cases. Create reference architectures, reusable patterns and accelerators for our Data AI offering. Act as technical authority for delivery teams: review designs and keep quality consistent across projects. Presales Client Advisory Partner with sales and industry teams as technical presales: discovery workshops, solution design, estimations and the technical parts of proposals and RFPs. Present architectures and recommendations to client stakeholders, from engineering teams to C-level. Design and run PoCs and technical demos. Evaluate new approaches and tools (data mesh, streaming-first, AI-native platforms) and share what you learn internally and externally. Expectations – the experience you need 7+ years in data engineering or data architecture, including at least 3 years in an architect role. Hands-on experience designing and delivering solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark): expert level in at least one, working knowledge of the other. Experience with at least one major cloud (Azure, AWS or GCP) and its data services. Strong data modeling skills (Kimball, Data Vault, 3NF). Strong SQL and good Python. Experience with orchestration and transformation tools (e.g. Airflow, dbt, Azure Data Factory). Solid understanding of data security, governance and regulatory requirements. Client-facing experience, ideally in consulting or IT services, and the ability to explain technical trade-offs to business stakeholders. Very good English, spoken and written (C1). Additional skills – the edge you have Snowflake (SnowPro Advanced), Databricks or cloud architect certifications. Experience with Microsoft Fabric, BigQuery or Redshift. Streaming (Kafka, Spark Structured Streaming) and event-driven architectures. Data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub). Semantic layer and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL). Domain experience in one of our verticals (BFSI, telco, retail/manufacturing, gaming betting, healthcare, media). Previous presales or solution consulting experience. What we offer: Flexible and remote cooperation options International projects with leading global clients Travels related to international projects Non-corporate atmosphere Access* to language classes Access* to knowledge-sharing initiatives Access* to private healthcare and life insurance Access* to multisport card *The availability and terms of individual benefits may vary depending on the chosen form of cooperation. Software Mind develops solutions that make an impact for companies around the globe. Tech giants unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words

项目——你的目标 我们是Software Mind的数据分析全球能力中心。我们为金融服务业、电信、媒体娱乐、零售、制造、游戏、医疗等行业客户设计、构建和维护数据与分析解决方案。我们的项目运行在现代数据平台上，主要是Azure、AWS和GCP上的Snowflake和Databricks，以及本地和混合环境。 角色——你将如何贡献 架构交付：评估客户当前的数据格局，并设计与业务目标一致的目标状态架构（云、混合、本地）。根据客户需求、约束和现有技术栈选择技术，以Snowflake和Databricks作为我们的核心平台。设计湖仓、仓库和数据湖架构，包括摄取、ETL/ELT管道、CDC、流处理和API集成。使用Kimball、Data Vault或3NF设计数据模型（概念、逻辑、物理），以及用于BI和AI的语义层。定义安全（IAM、加密、脱敏、行级安全）、HA/DR、性能和成本优化。构建数据治理基础：目录、元数据、血缘、数据质量和数据契约。确保平台为高级分析、ML、GenAI和实时用例做好准备。为我们的Data AI产品创建参考架构、可复用模式和加速器。作为交付团队的技术权威：审查设计并确保跨项目质量一致。 售前客户咨询 与销售和行业团队合作作为技术售前：探索研讨会、解决方案设计、估算以及提案和RFP的技术部分。向客户利益相关者展示架构和建议，从工程团队到C级高管。设计和运行PoC和技术演示。评估新方法和技术（data mesh、streaming-first、AI-native平台），并在内部和外部分享你的学习成果。 期望——你需要的经验 7年以上数据工程或数据架构经验，其中至少3年担任架构师角色。具有设计和交付Snowflake和Databricks（Delta Lake、Unity Catalog、Spark）解决方案的实操经验：至少其中一个是专家级别，另一个具备工作知识。具有至少一个主要云平台（Azure、AWS或GCP）及其数据服务的经验。强大的数据建模技能（Kimball、Data Vault、3NF）。强大的SQL和良好的Python。具有编排和转换工具的经验（例如Airflow、dbt、Azure Data Factory）。对数据安全、治理和监管要求有扎实理解。具有面向客户的经验，最好是在咨询或IT服务领域，以及向业务利益相关者解释技术权衡的能力。非常好的英语，口语和书面（C1）。 附加技能——你的优势 Snowflake（SnowPro Advanced）、Databricks或云架构师认证。具有Microsoft Fabric、BigQuery或Redshift的经验。流处理（Kafka、Spark Structured Streaming）和事件驱动架构。数据目录和MDM（Unity Catalog、Collibra、Atlan、DataHub）。语义层和知识图谱（dbt Semantic Layer、本体、RDF/OWL）。在我们某个垂直领域（BFSI、电信、零售/制造、游戏博彩、医疗、媒体）的领域经验。之前的售前或解决方案咨询经验。 我们提供： 灵活和远程合作选项 与全球领先客户的国际项目 与国际项目相关的出差 非企业化氛围 语言课程机会* 知识分享活动机会* 私人医疗和人寿保险机会* 多运动卡机会* *个别福利的可用性和条款可能因所选合作形式而异。 Software Mind开发为全球公司带来影响的解决方案。科技巨头、独角兽、变革性项目、新兴技术和无限机会——这些只是几个词

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准