Data Engineering Solutions Architect

Job Title:

Data Engineering Solutions Architect Location:

Ahmedabad 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 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 8–12 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 .