Data Engineer Solution Architect

Job Description

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.

Key Responsibilities

1. 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
   .
2. Define and implement 
   data ingestion, transformation, integration and orchestration frameworks
    for structured and semi-structured data.
3. Architect 
   data lakes and data warehouses
    with an emphasis on scalability, cost optimization, performance, and governance.
4. Support 
   real-time and API-based data integration
    scenarios; design solutions for streaming, micro-batch, and event-driven ingestion.
5. Lead design and delivery of 
   data visualization and reporting
    solutions using tools such as 
   Power BI, Tableau, and Streamlit
   .
6. Collaborate with business and technical stakeholders to define requirements, design architecture blueprints, and ensure alignment with business objectives.
7. Establish and enforce 
   engineering standards, frameworks, and reusable assets
    to improve delivery efficiency and solution quality.
8. Mentor data engineers and help build internal capability on emerging technologies.
9. Provide thought leadership around 
   modern data platforms, AI/ML integration, and data modernization strategies
   .

Required Qualifications

• 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
  .

Why Join Us?

• Work on 
  cutting-edge data and AI engagements
   with global clients.
• Collaborate with a team of passionate, high-performing data professionals.
• Opportunity to 
  influence architecture strategy
   and build internal capability.
• Culture that values 
  innovation, continuous learning, and career growth
  .
• Competitive compensation and benefits package.

Additional Information

This is 5 days work from office role

Required QualificationBachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) ,