Chief Data Platform Engineer

5 days ago


tiruchirappalli, India beBeeDataEngineering Full time

Data Engineering Solutions Architect Role SummaryOur organization seeks an experienced Data Engineering Solutions Architect to design and deliver large-scale data warehousing, data lake, ETL, and reporting solutions across modern and traditional data platforms. The ideal candidate will have 8-12 years of hands-on experience in this area.The successful candidate will be responsible for designing end-to-end data solutions using technologies like Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M, and cloud-native services on AWS/Azure/GCP. They will also define and implement data ingestion, transformation, integration, and orchestration frameworks for structured and semi-structured data.Key Responsibilities:Design and architect data solutions with a focus on scalability, cost optimization, performance, and governance.Develop and maintain data lakes and data warehouses that meet business requirements.Support real-time and API-based data integration scenarios; design solutions for streaming, micro-batch, and event-driven ingestion.Lead the 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 and ensure alignment with business objectives.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.Requirements:8-12 years of experience in data engineering and architecture.Hands-on experience with data warehousing, data lake, ETL, and reporting solutions.Proficiency in technologies like Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M, and cloud-native services on AWS/Azure/GCP.Strong understanding of data ingestion, transformation, integration, and orchestration frameworks.Experience with data visualization and reporting tools such as Power BI, Tableau, and Streamlit.Excellent collaboration and communication skills.Ability to mentor and train junior team members.Benefits:Opportunity to work on large-scale data projects.Chance to collaborate with cross-functional teams.Professional growth and development opportunities.A competitive salary and benefits package.



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