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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