Data Architect
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Job Description
Position: Data Architect
Experience:
10–15 Years Location: Bangalore – Remote Notice Period: Immediate Joiners Preferred Role Overview We are looking for an experienced Data Architect with 10–15 years of
experience
in designing and delivering scalable enterprise data platforms. The ideal candidate should have strong hands-on expertise in Snowflake, DBT, Apache Airflow, Big Data technologies, and AI/ML-driven data solutions, along with proven managerial and team leadership experience. The candidate will be responsible for defining data architecture, designing modern cloud data platforms, establishing data engineering best practices, and leading technical teams to successfully deliver complex data initiatives.
Key Responsibilities
Define and drive the overall enterprise data architecture and data platform strategy. Design scalable, secure, and high-performance data solutions using Snowflake. Architect and oversee ETL/ELT pipelines using DBT and Apache Airflow. Design solutions for processing and managing large-scale structured, semi-structured, and unstructured datasets. Provide architectural guidance for Big Data, Data Lake, Data Warehouse, and Lakehouse implementations. Design data platforms capable of supporting AI/ML, Generative AI, and advanced analytics use cases. Collaborate with AI/ML teams to ensure reliable, scalable, and governed data availability for model development and deployment. Establish standards and best practices for data modeling, data quality, data governance, security, lineage, and metadata management. Optimize Snowflake architecture for performance, scalability, reliability, and cost efficiency. Evaluate new data and AI technologies and recommend appropriate solutions based on business requirements. Work closely with business stakeholders, engineering teams, product teams, and senior leadership to translate business
requirements
into technical architecture. Lead architecture reviews, technical discussions, solution design, and implementation planning. Manage and mentor Data Engineers, Technical Leads, and Architects. Handle resource planning, task allocation, delivery tracking, risk management, and technical escalations. Provide technical and managerial leadership across multiple data initiatives. Ensure projects are delivered within agreed timelines while maintaining architecture and quality standards. Mandatory
Skills
10–15 years of overall
experience
in Data Engineering, Data Architecture, Big Data, or related areas. Strong
experience
as a Data Architect / Solution Architect / Lead Data Engineer. Extensive hands-on
experience
with Snowflake architecture and implementation. Strong expertise in DBT for data transformation and modeling. Strong
experience
with Apache Airflow for workflow orchestration. Strong knowledge of Big Data technologies and distributed data processing.
Experience
designing Data Warehouses, Data Lakes, and/or Lakehouse architectures. Strong understanding of ETL/ELT architecture and complex data pipelines.
Experience
with dimensional modeling and enterprise data modeling. Good understanding of AI/ML and Generative AI data architecture and the data
requirements
for AI-based applications. Strong knowledge of data governance, security, data quality, and performance optimization. Proven
experience
in team management, technical leadership, and stakeholder management. Excellent communication, problem-solving, and decision-making skills. Preferred
Skills
Experience
with cloud platforms such as AWS, Azure, or GCP.
Experience
with technologies such as Spark, Databricks, Kafka, Hadoop, or PySpark. Understanding of LLMs, Generative AI, RAG, vector databases, and AI/ML data pipelines would be an advantage.
Experience
with CI/CD and DevOps practices for data platforms.
Experience
working with enterprise-scale and high-volume data environments. Managerial & Leadership Requirements
Key Requirements & Skills
requirements
into technical architecture. Lead architecture reviews, technical discussions, solution design, and implementation planning. Manage and mentor Data Engineers, Technical Leads, and Architects. Handle resource planning, task allocation, delivery tracking, risk management, and technical escalations. Provide technical and managerial leadership across multiple data initiatives. Ensure projects are delivered within agreed timelines while maintaining architecture and quality standards. Mandatory
Skills
10–15 years of overall
experience
in Data Engineering, Data Architecture, Big Data, or related areas. Strong
experience
as a Data Architect / Solution Architect / Lead Data Engineer. Extensive hands-on
experience
with Snowflake architecture and implementation. Strong expertise in DBT for data transformation and modeling. Strong
experience
with Apache Airflow for workflow orchestration. Strong knowledge of Big Data technologies and distributed data processing.
Experience
designing Data Warehouses, Data Lakes, and/or Lakehouse architectures. Strong understanding of ETL/ELT architecture and complex data pipelines.
Experience
with dimensional modeling and enterprise data modeling. Good understanding of AI/ML and Generative AI data architecture and the data
requirements
for AI-based applications. Strong knowledge of data governance, security, data quality, and performance optimization. Proven
experience
in team management, technical leadership, and stakeholder management. Excellent communication, problem-solving, and decision-making skills. Preferred
Skills<
Frequently Asked Questions
How to apply for Data Architect at Evnek Technologies?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
Senior of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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Data Architect
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