[F] Data Architect

Avyka Open · verified Oct 24, 2026

Remote India Full-time Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Avyka. Remote, India · full-time.

Pay not stated Data Architect salary

RoleData Architecture & Governance

SeniorityMid-level

LocationIndia

WorkplaceRemote

EmploymentFull-time

PostedSep 22, 2025 · 1y ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build and maintain large-scale data systems, then tune them when performance or data issues arise
Create ETL workflows with suitable tools and technologies to move and transform data
Shape data models with cross-functional teams and build pipelines that can scale efficiently
Use Hadoop, Spark, PySpark or Kafka in big-data work, while developing toward Databricks and AI/ML projects

What you bring

You have relevant experience in data engineering and strong skills in Python, SQL, ETL and data modeling
You have worked with at least one listed platform or technology, such as Teradata, Informatica or Hadoop
You are ready to learn Databricks and AI/ML technologies as the role evolves

Who this fits

This remote role is based in India and suits a data engineering professional ready to grow into Databricks and AI/ML work. Cloud knowledge and Databricks or AI/ML experience are listed as advantages.

From the employer

[F] Data Architect

Job Summary:
We're seeking an experienced Data Architect / Senior Data Architect/ Associate Data Architect
Expertise in data engineering across major data platforms. The ideal candidate will have a
strong background in Python, SQL, ETL, and data modeling, with experience in tools like
Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, and Big Data. Cloud
knowledge (AWS, Azure, or GCP) is a plus. The role requires a willingness to transition and
upskill into Databricks & AI/ML projects.
Key Responsibilities:
● Design, develop, and maintain large-scale data systems
● Develop and implement ETL processes using various tools and technologies
● Collaborate with cross-functional teams to design and implement data models
● Work with big data tools like Hadoop, Spark, PySpark, and Kafka
● Develop scalable and efficient data pipelines
● Troubleshoot data-related issues and optimize data systems
● Transition and upskill into Databricks & AI/ML projects
Requirements:
● Relevent experience in data engineering
● Strong proficiency in Python, SQL, ETL, and data modeling
● Experience with one or more of the following:
○ Teradata
○ Informatica
○ Hadoop
○ Spark
○ PySpark
○ ADF
○ Snowflake
○ Big Data
○ Scala
○ Kafka
● Cloud knowledge (AWS, Azure, or GCP) is a plus
● Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML
Nice to Have:
● Experience with Databricks
● Knowledge of AI/ML concepts and tools
● Certification in relevant technologies
What We Offer:
● Competitive salary and benefits
● Opportunity to work on cutting-edge projects
● Collaborative and dynamic work environment
● Professional growth and development opportunities
● Remote work opportunities & flexible hours

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