Data Platform Architect

TaskUs; Chennai District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

TaskUs is seeking a senior Data Platform Architect to lead the design and direction of a modern data ecosystem. You will set standards, review engineering outputs, and bridge complex technical systems with business value.

You will own platform design decisions, governance, and performance optimisations, collaborating with global teams in a remote-first setup. Strong cloud, data engineering, and Kubernetes expertise are essential.

Qualifications

• 8+ years in data engineering/architecture delivering production-grade lakehouse environments.
• Fluency with modern data stack (Databricks Lakehouse, Unity Catalog) and high-performance warehouses.
• Hands-on with Apache Iceberg or Delta Lake and optimisation of partitions and schema evolution.
• Proficient in dbt for SQL-based modelling; PySpark or Python for data processing.
• Experience with vectorised compute and cost-efficient engines like DuckDB.
• Strong orchestration with Apache Airflow for resilient DAGs.
• Cloud familiarity (AWS/GCP/Azure) and storage–compute separation strategies.
• Experience with open-source catalogs (Apache Polaris) and data governance tooling.
• Ability to translate technical debt and roadmaps for C-level stakeholders.
• Kubernetes (Pods, Deployments, Secrets) and containerised data workloads.

Responsibilities

• Lead architectural decisions for compute engine selection and tiered storage design.
• Define interoperable data environments to avoid vendor lock-in.
• Design and oversee automated data governance, including PII discovery and security.
• Define DoD for data pipelines, coding standards, and CI/CD patterns.
• Maintain ADRs documenting rationale, trade-offs and long-term implications.
• Monitor and optimise platform performance and cloud spend.
• Mentor senior engineers and conduct deep code/design reviews.
• Align data platform roadmap with business value and regulatory needs.

Skills

Data engineering

Data architecture

Modern data stack

Databricks

Snowflake/Redshift

dbt

PySpark

Python

Airflow

Kubernetes

AWS/GCP/Azure

Open-table formats

DC/DE data governance

Tools

Databricks

Lakehouse

Iceberg/Delta Lake

dbt

PySpark

Python

Airflow

AWS

S3

Redshift

Snowflake

Kubernetes

Job description

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.

The Data Platform Architect

The Data Platform Architect is the lead designer and technical authority for our modern data ecosystem. Architect is responsible for ensuring the platform provides a high-performance, cost-effective and secure foundation that evolves alongside business needs. This is a "design-and-direction" role where you set the standards, review engineering output, and serve as the primary bridge between complex technical systems and business value.

Work Mode: Remote

What the Architect will own

• Platform Design & Research: Lead architectural decisions regarding compute engine selection, open-table format implementation and tiered storage design.
• Agnostic Infrastructure: Architect a decoupled data environment that ensures interoperability across multiple engines and prevents proprietary vendor lock-in.
• Governance & Compliance: Design and oversee the implementation of automated data governance, including PII discovery, row/column-level security and auditability.
• Standards & Frameworks: Define the "Definition of Done" for data pipelines, establishing coding standards, CI/CD patterns and technical documentation requirements.
• Architectural Decision Records (ADR): Maintain a version-controlled repository of all consequential technical decisions, documenting the rationale, trade-offs and long-term implications.
• Performance & FinOps: Monitor and optimise platform performance and spend, ensuring sub-second query speeds for massive user bases while maintaining a lean cloud footprint.
• Technical Stewardship: Conduct deep-dip code and design reviews for all data models and orchestration workflows; mentor and unblock senior engineering staff.

Technical Skills & Experience

• 8+ Years in Data Engineering / Architecture: Proven experience delivering production-grade Lakehouse environments for high-concurrency (1,000+ user) organizations.
• Modern Data Stack Fluency: Extensive experience with Databricks (Lakehouse/Unity Catalog) and high-performance warehouses like Amazon Redshift or Snowflake.
• Open-Table Formats: Deep hands-on expertise with Apache Iceberg or Delta Lake, including optimisation strategies for partitioning and schema evolution.
• Transformation & Modeling: Mastery of dbt (Core) for complex SQL-based modelling and PySpark or Python for sophisticated data processing.
• High-Efficiency Compute: Familiarity with vectorised/embedded engines like DuckDB for specialised or cost-sensitive processing tasks.
• Orchestration Mastery: Advanced experience with Apache Airflow, specifically in designing resilient, dependency-aware DAGs in resource-constrained environments.
• Cloud Ecosystems: Expert-level knowledge of AWS (S3, EC2, IAM) or equivalent services in Azure/GCP, with a focus on storage-compute separation.
• Experience with open-source catalog implementations like Apache Polaris.
• Knowledge of Data Ops principles and automated data quality testing frameworks.
• Experience translating technical debt and architectural roadmaps for C-level executives.
• Background in managing fixed-resource infrastructure (e.g., EC2/VM-based processing) vs. elastic serverless models.
• Kubernetes (K8s). Deep understanding of Pods, Deployments, Services, ConfigMaps and Secrets management.

Equality and Diversity

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.