Job Summary

We are looking for an experienced Data Engineering
Solutions Architect to join our growing Data Practice. The ideal candidate
will have 8–12 years of hands-on experience designing, architecting, and
delivering large-scale data warehousing, data lake, ETL, and reporting
solutions across modern and traditional data platforms. You will play a key
role in defining scalable, secure, and cost-effective architectures that
enable advanced analytics and AI-driven insights for our clients.

This role demands a balance of technical depth, solution
leadership, and consulting mindset - helping customers solve complex data
engineering challenges while also building internal capability and best
practices within the organization.

Job Responsibilities

·
Design and architect end-to-end data solutions
using technologies like Snowflake, Databricks, dbt, Matillion, Python,
Airflow, Control-M, and cloud-native services on AWS/Azure/GCP.

·
Define and implement data ingestion,
transformation, integration and orchestration frameworks for structured and
semi-structured data.

·
Architect data lakes and data warehouses with
an emphasis on scalability, cost optimization, performance, and governance.

·
Support real-time and API-based data
integration scenarios; design solutions for streaming, micro-batch, and
event-driven ingestion.

·
Lead design and delivery of data visualization
and reporting solutions using tools such as Power BI, Tableau, and Streamlit.

·
Collaborate with business and technical
stakeholders to define requirements, design architecture blueprints, and
ensure alignment with business objectives.

·
Establish and enforce engineering standards,
frameworks, and reusable assets to improve delivery efficiency and solution
quality.

·
Mentor data engineers and help build internal
capability on emerging technologies.

·
Provide thought leadership around modern data
platforms, AI/ML integration, and data modernization strategies.

Essential Skills

·
8–12 years of experience in data engineering
and architecture, including hands-on solution delivery.

·
Deep expertise with Snowflake or Databricks,
with strong working knowledge of tools like dbt, Matillion, SQL, and Python
or PySpark.

·
Experience designing and implementing data
pipelines and orchestration using tools like Airflow, Control-M, or
equivalent.

·
Familiarity with cloud-native data engineering
services (Such as AWS Glue, Redshift, Athena, GCP BigQuery, Dataflow,
Pub/Sub, etc.) or similar.

·
Strong understanding of data modelling,
ELT/ETL design, and modern architecture frameworks (medallion, layered, or
modular architectures).

·
Experience integrating and troubleshooting
APIs and real-time data ingestion technologies (Kafka, Kinesis, Pub/Sub, REST
APIs).

·
Familiarity with traditional ETL and data
integration tools (Informatica, SSIS, Oracle Data Integrator, etc.).

·
Excellent understanding of data governance,
performance tuning, and DevOps for data (CI/CD, version control, monitoring).

·
Strong communication, problem-solving, and
stakeholder management skills.

Preferred Qualifications

·
Certifications such as:

·
Snowflake SnowPro, Databricks Certified
Architect, AWS Data Analytics Specialty, or Google Professional Data
Engineer.

·
Prior consulting or client-facing experience.

·
Exposure to AI/ML, data quality, or metadata
management frameworks.

·
Experience leading solution design across
multi-cloud or hybrid environments.

Background Check required

No criminal record

Others

This is 5 days work from office role

Office Location- Ambawadi, Ahmedabad

Interview rounds-3-4 rounds of interviews.