Senior Data Engineer (Snowflake Semantic Layer)

Symphoni HR • Bachelor's Degree • Python • SQL • ETL/ELT • Dimensional Modeling • Collibra • Alation • 6 days ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 25, 2026.

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Symphoni HR

Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.
symphonihr.com • HQ: Mumbai, India • Executive Search • Human Resources • Professional Services • 201-500 employees • Est. 2003

We are seeking a highly skilled Data Engineer to design and optimize enterprise-scale data platforms with a focus on semantic layer architecture. You will be responsible for building governed, business-friendly data models that enable self-service analytics and ensure a single source of truth across the organization. This role requires a deep understanding of Snowflake and the ability to translate complex business requirements into scalable data solutions.

Our client is a leading global computer software organization known for delivering innovative data and analytics solutions. They operate at a significant scale, supporting complex enterprise environments with a focus on cutting-edge cloud technologies and data-driven decision-making.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ELT/ETL processes within the Snowflake Data Cloud.
  • Architect and manage enterprise semantic models to provide consistent business metrics and KPIs.
  • Optimize Snowflake performance through advanced query tuning, clustering, and warehouse sizing.
  • Implement dimensional models including Star and Snowflake schemas to support diverse business domains.
  • Integrate semantic layers with BI and visualization tools to enable governed self-service analytics.
  • Establish data quality frameworks, metadata management, and lineage tracking to ensure data integrity.
  • Collaborate with business stakeholders to translate requirements into robust, reusable data structures.
  • Implement security, governance, and access control policies across the data platform.

Requirements

  • 6-8 years of professional experience in data engineering and data warehousing.
  • Expert-level proficiency in Snowflake Data Cloud and advanced SQL development.
  • Proven experience in designing and implementing semantic layers using tools like dbt, AtScale, or LookML.
  • Strong background in dimensional modeling and ETL/ELT development.
  • Proficiency in Python programming for data pipeline automation.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with data governance tools like Collibra, Alation, or Microsoft Purview.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • SnowPro certification is highly preferred.
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