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Data Architect
Aeries Technology
posted 8hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- We are looking for a Senior Data Engineer with an architect s mindset and thought leadership approach on the Data & Analytics team. This role goes beyond development its about end-to-end thinking, mentoring and collaborating with a global team.
- As a key technical leader, you will align data strategies with business needs, and drive best practices in data modeling, governance, and performance optimization. you will play a pivotal role in streamlining tooling for Democratized Development within Snowflake, DBT related data platforms and build high impact data models.
- You will drive performance optimization, cost efficiency, data governance, and model architecture, ensuring that our data infrastructure is scalable, secure, and high-performing.
- This role requires deep expertise in cloud-based data engineering, a strong problem-solving mindset, and the ability to collaborate with business and analytics teams . You will work on optimizing compute resources, improving data quality, and enforcing governance standards , support code reviews, and mentor team members, fostering a high-performing data engineering culture.
Key Responsibilities
- Data Acquisition & Pipeline Development
- Develop and maintain scalable data pipelines for efficient data ingestion, transformation, and integration.
- Work with Fivetran, Python, and other ETL/ELT tools to automate and optimize data acquisition from various sources.
- Ensure reliable data movement from SaaS platforms (eg, Salesforce, Gong, Google Analytics) and operational databases into Snowflake.
- Monitor and enhance pipeline performance, identifying areas for optimization and fault tolerance.
- Evaluate and recommend new technologies for data ingestion, transformation, and orchestration.
- Democratized Development & Tooling
- Enable and streamline self-service data development for analysts and data practitioners.
- Drive best practices in DBT and Snowflake for modular, reusable, and governed data modeling.
- Design and maintain CI/CD pipelines to support version control, testing, and deployment in a modern data stack.
- Performance Optimization & Cost Efficiency
- Optimize and tune Snowflake queries and workloads for performance and cost efficiency.
- Implement warehouse resource scaling strategies to reduce compute costs while maintaining SLAs.
- Monitor and analyze query performance, storage consumption, and data usage patterns to identify optimization opportunities.
- Data Quality, Governance & Security
- Establish data quality monitoring frameworks, integrating automated validation and anomaly detection.
- Enforce data governance policies, including access controls, lineage tracking, and compliance standards.
- Work closely with security teams to implement data protection strategies in Snowflake.
- Data Model Development & Architecture Review
- Design and develop scalable, well-structured data models in Snowflake.
- Perform data model reviews to ensure consistency, efficiency, and alignment with business needs.
- Collaborate with Analytics & BI teams to define metrics layers and transformation logic in DBT.
- Collaboration & Agile Execution
- Collaborate with BI teams to ensure data models meet reporting requirements in Power BI.
- Partner with cross-functional teams including Sales, Marketing, Customer Support, Finance, and Product to deliver trusted, high-quality data solutions.
- Work within an Agile framework, delivering iterative improvements to data infrastructure.
- Stay ahead of industry trends in modern data engineering, Snowflake, and DBT to drive innovation.
Qualifications
- Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in Data Engineering with strong expertise in Snowflake.
- 2+ years of hands-on experience in DBT for data modeling and transformation.
- 2+ years of experience in Python, particularly for data pipelines and automation.
- Strong expertise in SQL optimization and performance tuning.
- Deep understanding of ETL/ELT architectures, data warehousing, and cloud data management best practices.
- Experience implementing cost monitoring and optimization techniques in Snowflake.
- Strong problem-solving skills and ability to troubleshoot complex data issues.
- Excellent communication skills and ability to work in collaborative, cross-functional teams.
- Experience with Agile methodologies and iterative data development processes is a plus.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
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