Data Architect

Responsibilities

- Architect scalable data processing and analytics solutions for big data storage, processing, and consumption.

- Clearly articulate pros and cons of various technologies and platforms while proposing solutions.

- Prior experience on cloud platform (AWS/Azure/GCP)

- Define architecture, blueprints/patterns, accelerators & interoperability standards.

- Define data security and data privacy standards for solutions.

- Drive the evolution of data architecture.

- Lead architectural discussions and design workshops with internal stakeholders.

- Create technical documentation.

Qualifications

- You have a bachelor’s degree in STEM.

- You have more than 5+ years of data engineering experience, 3+ years as data architect.

- Extensive hands‑on experience in leading large-scale full-cycle enterprise data warehousing (EDW), BI reporting, dashboard development projects.

- You understand the latest database and analytical technologies including data lake/lakehouse architectures and NoSQL storage.

- You have a strong understanding of data modeling techniques and are experienced in building domain data models.

- You have hands‑on experience with designing and tuning ETL/ELT pipelines.

- You bring along your excellent SQL and strong hands‑on scripting ability.

- You have already planned data governance and data security practices. Experience in semantic and meta modeling is a plus.

- Confidence with Microsoft Azure (or AWS, GCP) platform.

- Prior engineering experience using modern programming languages (Python, Scala, Java, etc.) is a big plus.

- Prior experience with designing on-demand analytics systems is a plus.

- Prior exposure to Databricks is a nice to have.

We look forward to receiving your application!

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Staffing and Recruiting

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