Job Description

Job Title:

Principal Data Architect

Location:

India (Remote/Hybrid Kochi, Bengaluru, Chennai, Dehradun preferred)

:

We are seeking a highly experienced and hands-on Principal Data Architect with deep expertise in



cloud-native big data architectures. The ideal candidate will have a strong background in designing



and implementing enterprise-grade data solutions across Azure, AWS, and GCP environments. You



will be responsible for leading the design, architecture, and development of large-scale data



platforms, with a focus on data lakes, pipelines, data virtualization, analytics, and cloud migrations.

Key Responsibilities:

Lead architecture, design, and implementation of cloud-based data platforms using Azure,



AWS, and GCP.



Architect data lakes, cloud data warehouses, and ETL/ELT pipelines for batch and real-time



processing.



Guide teams in adopting big data and cloud best practices, ensuring data quality,



governance, and security.



Work closely with cross-functional teams and business stakeholders to translate



requirements into scalable data solutions.



Provide thought leadership on modern data architecture patterns like Data Mesh, Data



Lakehouse, and Data Virtualization.



Act as a technical SME for platforms like Databricks, Snowflake, Synapse, Airflow, and



Dremio.



Define and enforce architecture standards and best practices across the data engineering



lifecycle.



Mentor junior data engineers and participate in code reviews, architecture reviews, and



design sessions.

Must-Have Skills:

Cloud Platforms:

o Azure (7+ yrs):

ADF, Synapse, Databricks, ADLS, Logic Apps

o AWS (7+ yrs):

S3, Glue, Redshift, EMR, Lambda

o GCP (1+ yr):

Dataproc, GCS, BigQuery

Big Data Ecosystem:

o Spark (7+ yrs), Hadoop (HDFS, Hive), Kafka (3+ yrs), Airflow (3+ yrs), Dremio

Programming & Scripting:

o Python (10 yrs), SQL (10 yrs), Scala/Java (5 yrs), Bash, Unix Scripting

Data Engineering Tools & Frameworks:

o Databricks (5+ yrs), Snowflake (3+ yrs), Docker, Git, Jenkins, CI/CD

Data Modeling & Architecture:

o OLAP/OLTP modeling, Star/Snowflake schema, Data Vault, Virtualization strategies

Certifications (Preferred):

o AWS Certified Solutions Architect Associate



o AWS Certified Data Analytics Specialty



o Databricks Certified Data Engineer Associate



o SnowPro Core Certification

Nice to Have:

Experience with SAP HANA, PostgreSQL, Oracle SQL, DBT, and DevOps workflows



Exposure to data governance tools and metadata management



Strong presentation and stakeholder communication skills



Experience with presales, client engagement, and RFP responses

Education:

Bachelor of Technology in Electronics & Telecommunication Mahatma Gandhi University

Experience Level:

10+ years

Employment Type:

Full-time