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← MYMIND

Data Leader

MYMIND · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
CNTT - Phần mềm
Mức lương
Từ 50tr
Địa điểm
Quận 3, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • a. Team leadership & mentoring
  • Lead, coach, and mentor the data engineering team (Senior/Middle/Junior); run 1:1s, define growth paths, and conduct performance reviews.
  • Set technical standards through design reviews, code reviews, and pairing — raise the team's bar rather than doing all the hard work alone.
  • Build the hiring pipeline: define role profiles, interview, and onboard data engineers and analysts.
  • b. Resource coordination & delivery
  • Plan, allocate, and rebalance team capacity across squads/projects (DigiRetail, DigiFarm, DigiFactory, DigiO) based on priority, risk, and deadlines.
  • Own the data roadmap and backlog — break business requests into epics/stories, estimate effort, track delivery, and report status to management and stakeholders.
  • Manage cross-team dependencies with product, backend, DevOps, and data science; unblock the team and escalate early.
  • c. Business & domain alignment
  • Understand the business data models of Ecommerce (orders, catalog, inventory, promotions, customer/CRM/CDP), ERP/DMS (sales-distribution, finance, procurement, warehouse), and AgriTech (field, crop, GIS, IoT/sensor).
  • Translate business KPIs into data products: define metrics, dimensional models, and data contracts with product owners and domain experts.
  • Act as the primary data counterpart for stakeholders (Product, Finance, Operations, Customers/Partners) — and own data governance, data quality, and access policies.
  • d. Platform & architecture
  • Architect and evolve the data platform: batch/streaming pipelines, data lake/lakehouse, warehouse, and DaaS/API layers for analytics, applications, and partners.
  • Develop and maintain GIS data systems enabling geospatial analytics and field-level monitoring.
  • Optimize storage and compute cost/performance across on-premise and cloud; enforce infrastructure-as-code, versioning, and reproducibility.
  • Drive AI/ML enablement on the platform: feature pipelines, model serving integration, and AI- ready data architecture (advantage — see Nice to Have).

Yêu cầu

  • a. Must Have Skills
  • Experience: 7+ years in data engineering / data platform, including 2+ years leading a data team (3+ members) with direct people-management responsibility.
  • Leadership & mentoring: proven track record of growing engineers, running design/code reviews, and setting team standards.
  • Resource & delivery management: capacity planning, prioritization, estimation, and status reporting across multiple concurrent projects; hands-on with Jira/agile delivery.
  • Business domain knowledge: solid understanding of Ecommerce and/or ERP/DMS data (transactional models, master data, KPIs, reconciliation, reporting needs); experience working directly with business stakeholders.
  • Core technical skills:• Proficient in Python and SQL for data transformation and automation.
  • Strong experience with distributed processing frameworks(e.g.,Apache Spark, Flink).
  • Experience designing and operating data lakes/lake houses and warehouses(e.g.,Iceberg, Delta Lake, BigQuery, Redshift).
  • Experience designing APIs or DaaS platforms for data delivery.
  • Solid knowledge of data modeling (Kimball, DataVault , or similar) and data governance/quality frameworks.
  • Familiarity with semi-structured and unstructured data (JSON, geospatial, IoT, sensor data).
  • Tools/Software proficiency:• Orchestration tools(Airflow, Dagster, Prefect).
  • Cloud platforms(AWS preferred; GCP or Azure).
  • Git, CI/CD, and infrastructure-as-code(Terraform or equivalent).
  • b. Nice to Have Skills
  • AI Engineer experience (strong advantage): designing AI/ML architecture on AWS — e.g., SageMaker, Bedrock, Lambda/Step Functions, feature store, vector databases, model serving/MLOps — and integrating AI into data pipelines (data enrichment, anomaly detection, predictive modeling for AgriTech/Ecommerce use cases).
  • Education: Bachelor's or Master's in Computer Science, Data Engineering, or related fields.
  • Mindset: practical, detail-oriented, collaborative, and curious about how data can improve agriculture and retail operations.
  • Advanced tools/technology skills:• Geospatial tools and libraries (PostGIS,GeoPandas,QGIS).
  • Data catalog or governance tools(OpenMetadata, DataHub).
  • Streaming platforms(Kafka,Pulsar).
  • Semantic/BI layer and self-service analytics(dbt, Metabase, PowerBI, orsimilar).
  • Certifications: AWS Certified Data Engineer / Solutions Architect / Machine Learning Specialty.
  • Why You'll Love Working Here
  • WHAT'S ON OFFER
  • A chance to work in the fast-growing and innovative AgriTech sector, solving meaningful problems that impact farmers and sustainability.
  • An opportunity to lead and build the data function from the ground up, shaping architecture, team, tools, and standards for the future.
  • A collaborative and learning-focused environment.

Quyền lợi

  • Personal Healthcare Insurance, Annual Healthcare checkup....
  • Company events: 8/3, 20/10, Men's Day, Mid-Autumn, Year End Party, Company Trip....
  • Bonus: 13th-month salary and performance bonus (subject to individual performance and the company's business results).
  • Modern and well-equipped working facilities.
Chế độ thưởngChăm sóc sức khỏeCổ phần / ESOP

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