Senior Data Engineer

Bengaluru, Karnataka, India

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Welcome to Decision Foundry!

We are both a high growth startup and one of the longest tenured Salesforce Marketing Cloud Implementation Partners in the ecosystem. Forged from a 19-year-old web analytics company, Decision Foundry is the leader in Salesforce intelligence solutions.

We win as an organization through our core tenets. They include:

One Team. One Theme.

We sign it. We deliver it.

Be Accountable and Expect Accountability.

Raise Your Hand or Be Willing to Extend it


About the role:

We're looking for an experienced and skilled Senior Data Engineer to lead our data engineering initiatives. The ideal candidate will have a strong background in cloud data warehouses, API integrations, and data architecture. This role requires a mix of technical expertise, leadership skills, and the ability to mentor junior team members.

Responsibilities

  • Lead the design, implementation, and maintenance of our data infrastructure, including cloud data warehouses and data pipelines
  • Develop and integrate APIs to connect multiple platforms and data sources
  • Create and execute high-level architecture plans for our BI tools and backend data stack
  • Engage in project scoping and provide technical leadership throughout the project lifecycle
  • Mentor and lead junior team members, fostering their growth and development
  • Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions
  • Ensure data quality, security, and compliance with industry standards and regulations
  • Stay up to date with the latest trends and technologies in data engineering and cloud computing

Requirements

Required Qualifications

  • 5-10 years of experience in data engineering or related field
  • Strong expertise in cloud data warehouses (e.g., Snowflake, AWS Redshift, Azure Synapse, Google BigQuery)
  • Proficiency in working with APIs and integrating multiple platforms
  • Experience in designing and implementing data architectures and ETL processes
  • Solid programming skills in languages such as Python, SQL, and Scala
  • Familiarity with BI tools and data visualization platforms
  • Excellent communication and leadership skills
  • Proven ability to scope, design, and execute complex data projects
  • Experience mentoring junior team members

Good to have

  • Knowledge of or experience with the Salesforce ecosystem
  • Background in data science or machine learning
  • Familiarity with agile development methodologies
  • Experience with real-time data processing and streaming technologies
  • Certifications in relevant cloud platforms (AWS, Azure, GCP) or data technologies

 

Benefits

What We Offer

Opportunity to lead and shape the data strategy of a growing team

Collaborative and innovative work environment

Competitive salary and benefits package

Continuous learning and professional development opportunities

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Category: Engineering Jobs

Tags: Agile APIs Architecture AWS Azure BigQuery Data pipelines Data quality Data strategy Data visualization Engineering ETL GCP Machine Learning Pipelines Python Redshift Salesforce Scala Security Snowflake SQL Streaming

Perks/benefits: Career development Competitive pay Startup environment

Region: Asia/Pacific
Country: India

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