Data Engineering Solution Architect, Hyderabad

Position: Data Engineering Solution Architect, Hyderabad

Department: Information Technology | Role: Full-time | Experience: 8 to 12 Years | Number of Positions: 1 | Location: Hyderabad

Skillset:

Data Architect, Snowflake, DBT, Matillion, Databricks, Python, Control-M, Airflow, AWS/Azure/GCP, Medallion, DevOps, Excellent English communication skills

Job Description:

About Us:

We provide 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, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, we are a game-changer in any operations strategy.

We are looking for an experienced Data Engineering Solutions Architect to join our growing Data Practice. The ideal candidate will have 8 to 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:

• 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.

Required Qualifications:

• 8 to 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/week, work from office role in Hyderabad location

Required Qualification:

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

With a fast-growing analytics, business intelligence, IT Products and automation company