About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
The People First culture at TaskUs has enabled the company to expand its workforce to approximately 60,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world.
What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
Role Overview: We are seeking an
Enterprise Data Platform Architect to design and build a
next-generation, vendor-agnostic Data Platform from the ground up. You will own the
foundational platform architecture-decoupling compute from storage using Apache Iceberg,
designing containerized execution engines on Kubernetes, establishing multi-engine processing
(DuckDB, PyIceberg, dbt, serverless query engines), and embedding automated governance
from Day 1.
Work Mode : Remote
What You Will Own: • Custom Platform Architecture: Lead design decisions for a decoupled Lakehouse
architecture on AWS and Kubernetes, establishing storage layout, partition evolution, and
open table formats (Apache Iceberg).
• Multi-Engine Compute Optimization: Match specific workloads to appropriate engines (e.g.,
DuckDB for in-memory batch processing, PyIceberg for atomic writes, serverless engines
for query serving) to maximize speed while minimizing cloud spend.
• Framework & Runner Engineering: Define config-driven pipeline patterns and containerized
execution runners that automatically handle idempotency, schema evolution, advisory
locking, and step-level logging.
• Embedded Governance & Cataloging: Architect automated, zero-trust data governance
from Day 1, integrating open-source catalogs (Apache Polaris, Glue) with column-level
security, PII discovery, and automated audit trails.
• Data Quality Frameworks: Design multi-layer, config-driven data quality gates that execute
inline in-memory and trigger automated pipeline halts before bad data propagates.
• Architectural Decision Records (ADRs): Maintain a version-controlled repository of
technical decisions, documenting trade-offs, compute boundaries, and long-term
implications.
Core Technical Qualifications: • 8+ Years in Platform Architecture / Infrastructure Engineering: Proven track record of
designing and deploying production-grade, open-standard Data Platforms from scratch.
• Open Table Formats & Decoupled Storage: Deep expertise in Apache Iceberg (or Delta
Lake), including native PyIceberg APIs, ACID transactions on object storage (S3),
schema/partition evolution, and metadata management.
• High-Efficiency & Embedded Compute: Hands-on experience with in-process/vectorized
engines (DuckDB, PyArrow) and matching workload scales to the right compute engine
(single-node vs. distributed).
• Kubernetes & Container Orchestration: Experience in Kubernetes (EKS/K8s)-specifically
Pods, Deployments, ConfigMaps, Secrets, and custom containerized execution runners.
• Advanced Orchestration: Expert-level Apache Airflow skills, specifically designing dynamic,
dependency-aware DAGs and managing worker architecture in resource-constrained
environments.
• Transformation & Semantic Layers: Deep proficiency with dbt Core (SQL
compilation/modeling) paired with external execution engines and semantic YAML layer
definitions.
• Open-Source Catalogs & Governance: Experience implementing open catalog
specifications (Apache Polaris, Iceberg REST Catalog) and metadata platforms
(OpenMetadata, AWS Lake Formation).
• Cloud Infrastructure (AWS): Advanced knowledge of AWS core services (S3, EKS, IAM,
EC2, Serverless Query Serving) with strict adherence to storage-compute separation and
FinOps spend optimization.
Preferred / Bonus Qualifications (Pluses): • Databricks & Snowflake Experience (Plus): Experience with Databricks (Lakehouse/Unity
Catalog) or Snowflake is a plus, particularly in the context of legacy migrations, hybrid
query serving, or cross-engine query federation.
• DataOps & CI/CD: Hands-on experience establishing automated testing, blue/green
deployment patterns for data models, and GitOps workflows.
• Executive Communication: Proven track record translating technical debt, compute
benchmarks, and architectural roadmaps for executive leadership and non-technical
stakeholders.
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
We invite you to explore all TaskUs career opportunities and apply through the provided URL
.