---
title: 'Data Architect  (Managed Services) at AvePoint'
canonical: 'https://feeny.ai/job/data-architect-managed-services-avepoint-singapore-eg5edjf7zwgx'
type: 'job'
last_seen: '2026-09-07'
---

# Data Architect  (Managed Services) at AvePoint

- **Company:** AvePoint
- **Location:** Singapore
- **Posted:** 2026-06-26
- **Last confirmed live:** 2026-09-07
- **Apply:** https://www.avepoint.com/careers/job-detail?gh_jid=8029830

## Job description

## ROLE OVERVIEW

We are looking for a seasoned Data Architect with deep expertise in enterprise data warehousing, ETL/ELT pipeline development, and business intelligence. You will be responsible for the end-to-end design and implementation of our data architecture — from data ingestion and cleansing to dimensional modeling, warehouse construction, and BI dashboard delivery. You will also establish robust data governance frameworks including data catalogs, lineage tracking, and security audit systems. This role requires strong hands-on capability combined with architectural vision, and prior experience in complex industries such as finance, international trade, or manufacturing is highly valued.

## KEY RESPONSIBILITIES

Data Acquisition, Cleansing & Integration

- Design and implement enterprise-wide data collection strategies across heterogeneous source systems (ETRM, ERP, CRM, external APIs, flat files, and databases).
- Develop robust data cleansing and standardization pipelines to ensure data accuracy, consistency, and completeness across all data sources.
- Build data integration frameworks to consolidate data from disparate systems into a unified enterprise data warehouse, handling schema evolution and data drift.
- Implement Change Data Capture (CDC) mechanisms and incremental data loading strategies to ensure near real-time data freshness.

Data Warehouse Architecture & Modeling

- Lead the design and construction of the enterprise data warehouse (EDW) using industry-proven methodologies (Inmon, Kimball, or Data Vault).
- Apply dimensional modeling expertise to design star schemas, snowflake schemas, and constellation models optimized for analytical query performance.
- architect data marts for specific business domains (finance, sales, supply chain, operations) with clear separation of concerns.
- Select and implement appropriate data warehouse technologies based on workload characteristics: batch analytics (Hive, Spark SQL), real-time analytics (ClickHouse, Apache Doris, StarRocks), or MPP databases (Greenplum, Vertica).
- Design layered data architectures (ODS → DWD → DWS → ADS / Bronze → Silver → Gold) with clear data flow and transformation logic at each layer.

ETL/ELT Pipeline Development

- Design, build, and maintain scalable ETL/ELT pipelines using Apache Spark, Flink, Hive, MapReduce, or proprietary ETL tools (Informatica, Talend, Kettle).
- Implement workflow orchestration using Apache Airflow, DolphinScheduler, Azkaban, or Oozie to schedule, monitor, and manage data pipelines.
- Establish data quality frameworks: automated validation rules, anomaly detection, data profiling, and quality scorecards to ensure pipeline reliability and data trustworthiness.
- Build comprehensive monitoring and alerting systems for pipeline health, data freshness, and SLA compliance.
- Optimize pipeline performance through partitioning, bucketing, indexing, and query tuning strategies.

Business Intelligence & Reporting

- Develop enterprise BI reporting systems and interactive dashboards using tools such as Apache Superset, FineBI, Tableau, Power BI, or Quick BI.
- Design executive dashboards, operational reports, and self-service analytics interfaces tailored to business stakeholders across finance, trading, operations, and management.
- Implement metrics frameworks (KPIs, OKRs) and ensure data definitions are standardized, documented, and consistently applied across all reports.
- Work directly with business units to understand analytical requirements and translate them into effective data models and visualizations.

Data Governance & Standards

- Design and implement enterprise data governance frameworks from the ground up, including data ownership policies, stewardship roles, and governance workflows.
- Build a centralized data catalog (using Apache Atlas, DataHub, Amundsen, or similar) documenting all data assets, business glossaries, and metadata.
- Implement data lineage analysis systems to track data flow from source to consumption, enabling impact analysis and root cause diagnosis.
- Establish data security and audit frameworks: access control (RBAC/ABAC), data masking, encryption policies, sensitive data discovery, and compliance audit trails.
- Define and enforce data standards: naming conventions, data dictionaries, master data management (MDM) rules, and data quality SLAs.
- Ensure regulatory compliance with data protection laws (GDPR, PIPL, industry-specific regulations) through governance controls and documentation.

## REQUIRED QUALIFICATIONS

- Bachelor's degree or above in Computer Science, Statistics, Mathematics, Information Systems, or related technical field.
- 3+ years of professional experience in data development, data engineering, or data architecture roles, with a proven track record of building production data warehouse systems.
- Expert-level proficiency in SQL (complex queries, window functions, CTEs, query optimization) and Python for data processing and pipeline development.
- Mastery of data warehouse modeling theories and methodologies: dimensional modeling (Kimball), normalized modeling (Inmon), and Data Vault 2.0. Demonstrated experience designing star schemas, snowflake schemas, and aggregate tables for complex business domains.
- Deep domain experience in at least one complex industry: financial services (banking, securities, insurance), international trade (import/export, supply chain, logistics), or manufacturing (production planning, quality control, industrial IoT). Understanding of industry-specific data entities, business processes, and analytical requirements.
- Strong hands-on experience with ETL/ELT tools and frameworks: Apache Spark (batch and streaming), Apache Flink, Hive, MapReduce, Sqoop, DataX, SeaTunnel, or commercial ETL platforms (Informatica PowerCenter, Talend, IBM DataStage).
- Proficiency in workflow orchestration: Apache Airflow, DolphinScheduler, Azkaban, Oozie, or equivalent scheduling and monitoring platforms.
- Production experience with at least one major data warehouse/analytics database: ClickHouse, Apache Doris, StarRocks, Hive, Greenplum, Vertica, Teradata, or Snowflake.
- Strong hands-on experience with BI and visualization tools: Apache Superset, FineBI, Tableau, Power BI, Quick BI, or similar enterprise BI platforms.
- Deep expertise in Data Governance with demonstrated ability to build governance systems from scratch: data catalog implementation, metadata management, automated lineage tracking (using OpenLineage, Marquez, or similar), data quality monitoring, and security audit frameworks.
- Solid understanding of relational and analytical databases: PostgreSQL, MySQL, Oracle, SQL Server, Greenplum — including performance tuning, indexing strategies, and query optimization.
- Experience with big data ecosystem components: HDFS, YARN, ZooKeeper, Kafka, and Hadoop distributions (CDH, HDP, Apache).

## PREFERRED QUALIFICATIONS

- Experience with master data management (MDM) platforms and methodologies.
- Familiarity with data mesh or data fabric architectural patterns for large-scale decentralized data environments.
- Experience with data versioning and time-travel capabilities in modern data warehouses.
- Domain knowledge on Energy Trading, Market Risk Management.
- Professional certifications: CDMP (Certified Data Management Professional), DAMA-DMBOK, or vendor-specific data platform certifications.

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our [Privacy Notice](https://www.avepoint.com/company/privacy-notice).

## About AvePoint

## Company Overview
- **One-liner**: AvePoint is a global leader in data security, governance, and resilience, providing a unified platform to help organizations protect, manage, and optimize their data across Microsoft, Google, Salesforce, and other collaboration environments in an AI-driven world.
- **Entity Type**: Public (NASDAQ: AVPT)
- **Headquarters**: Jersey City, New Jersey, United States
- **Founded**: 2001
- **Founders**: The company was founded by a team of entrepreneurs; the journey began in a public library in Somerset, New Jersey.

## Core Business
- Primary industry/industries: Enterprise SaaS (Data Security, Governance, and Resilience)
- Target customers: B2B, heavily focused on Enterprise and Government (including highly regulated industries)
- Mission or purpose statement: To enable organizations to confidently embrace the future of work by simplifying collaboration, securing data, and unlocking the potential of AI. Their platform, the AvePoint Confidence Platform, acts as the "Trust Layer" for modern data challenges.

## Products & Services
- **[AvePoint Confidence Platform]**: A unified, cloud‑native SaaS platform that integrates data security, governance, and resilience. It addresses four core data challenges:
    1.  **Digital Sprawl**: Scalable backup and granular restore from a single platform.
    2.  **Legacy & Fragmented Data**: Full lifecycle management from creation to retirement, including discovery and cleanup of Redundant, Outdated, and Trivial (ROT) data.
    3.  **Overexposed Data**: Visibility and least-privilege access controls, automated policy reviews, and configuration drift remediation.
    4.  **Data Loss & Interruption**: Proactive security and compliance controls to mitigate reputational risk.
- **Specialized Solutions**: The platform includes specific tools for Microsoft 365 Copilot analytics, workspace management (MyHub), and rapid cloud backup (Cloud Backup Express).
- **Certifications & Compliance**: The platform is certified against major standards including ISO 27001:2022, ISO 27701:2019, ISO 27017:2015, SOC 2 Type II, FedRAMP (Moderate), IRAP (Australia), and CSA STAR.

## Market Standing
- **Valuation/Market Cap**: (Not publicly available from search results, but as a NASDAQ-traded company, this fluctuates. Check Yahoo Finance or a similar service for current data.)
- **Key Metric**: Annual Revenue (Public) OR Total Funding (Private): **Public Company** - refer to SEC filings (10-K/10-Q) for the most recent quarterly/annual revenues.
- **Notable Investors/Partners**: Deeply embedded partnership with **Microsoft** (has won the Global Microsoft Partner of the Year Award six times). Other key ecosystem partners include Google and Salesforce.
- **Growth Signals**: 
    - Serves **28,000+ customers** in **100 countries**.
    - Over **3,000 employees** globally, with a strategically distributed workforce (two-thirds in APAC).
    - Expanded FedRAMP authorization to include three new products in 2024.
    - Launched an **AI Lab in Singapore** in 2024 to drive industry-focused innovation.
    - Hosted across **14 global data centers**.

## Competitive Advantages
- **Deep Microsoft Ecosystem Integration**: AvePoint is a long-standing, premier partner of Microsoft with one of the largest SaaS userbases in the Microsoft 365 ecosystem. Their history dates back to providing backup for SharePoint 2001.
- **Comprehensive "Trust Layer"**: They are one of the few vendors to unify data security, governance, and resilience (backup & recovery) into a single platform, meeting the needs of highly regulated industries and governments.
- **Highest Security Standards**: Holds extensive, globally recognized security and compliance accreditations (FedRAMP, SOC 2, ISO 27701, IRAP), making them a trusted partner for the public sector and regulated industries.
- **Global Infrastructure & Support**: A strategically distributed global workforce and 14 data centers support data sovereignty requirements worldwide.

## Strategic Focus
- **AI-Ready Data Governance**: Centered on the idea that AI is only as good as the data it uses. AvePoint focuses on helping organizations prepare, secure, and govern their data for AI adoption (e.g., providing benchmarking and analytics for Microsoft 365 Copilot).
- **Serving the Public Sector**: Actively expanding its FedRAMP authorized product portfolio to capture more government business in the US and other regulated regions.
- **Continued Platform Expansion**: Adding new analytics, workspace management, and rapid backup solutions to broaden the scope of the Confidence Platform.

## Why Work Here
- **Award-Winning Culture**: Recognized as an **Inc. Best Workplace** (back-to-back), a **Built In Best Place to Work (2024)**, and a **Great Place to Work** (93% of US employees say it's a great place to work vs. 57% at a typical US-based company). Also received awards in the Philippines, Australia, and from kununu (Top 2025 Company).
- **Culture & Values**: The company describes its culture with five core values and leadership behaviors:
    - **Ownership and Accountability** ("We take full accountability, set high standards...")
    - **Teamwork** ("promoting global collaboration and taking pride in helping, sharing, mentoring...")
    - **Agility** ("quick, informed decision-making... a growth mindset")
    - **Visionary and Practical** ("bold ideas... turning them into groundbreaking realities")
    - **Inclusive and Empathetic** ("Diversity is at the core of our success... fostering inclusive collaboration")
- **Growth Trajectory**: With over 3,000 employees and a history of rapid growth, there are significant opportunities to make an impact and "craft your career."
- **Global & Remote-Flexible**: Opportunities are available across **North America, APAC, and EMEA** in cities like Jersey City, New York, London, Singapore, Sydney, and many more. They also have remote positions in Poland and other locations.
- **Entrepreneurial Spirit**: The company encourages a "builder" mindset, where employees are empowered to "seize" opportunities and take ownership.

## Sources
1. [Avepoint.com - Company Site](https://www.avepoint.com/)
2. [Avepoint.com - History Page](https://www.avepoint.com/history)
3. [Avepoint.com - Careers Page](https://www.avepoint.com/careers)
4. [LinkedIn - AvePoint](https://www.linkedin.com/company/avepoint)
5. [Great Place to Work - AvePoint](https://www.greatplacetowork.com/en/certified-company/7048881)

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