Data Engineering Solutions Architect

Job Title:
Data Engineering Solutions Architect

Location:
Hyderabad

Job Type:
Full-time

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.

About Us

Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, leading to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automation more effectively. With deep big four consulting experience in business transformation and efficient processes,
Logic Pursuits is a game-changer in any operations strategy
.