Who are we
Fulcrum
Digital is an agile and next-generation digital accelerating company providing
digital transformation and technology services right from ideation to
implementation. These services have applicability across a variety of
industries, including banking & financial services, insurance, retail,
higher education, food, healthcare, and manufacturing.

Requirements

As a Senior Software Engineer
on the DataPipeline team you will provide technical leadership and hands-on delivery. This role is designed for an experienced practitioner who can operate independently in complex problem spaces, accelerate delivery of critical capabilities, and raise the technical bar across the platform through architecture, implementation, and mentorship.

Position Responsibilities

As a Senior Software Engineer focused on the Data Pipeline, you will:

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  Own and deliver complex, end-to-end data platform capabilities from ingestion and processing through publishing.
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  Act as a senior technical contributor for the data layer, influencing architecture decisions and ensuring alignment across multiple products.
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  Design and evolve highly scalable, reliable, and observable data pipelines.
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  Lead resolution of complex technical problems, including performance bottlenecks, data quality issues, and production incidents.
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  Maintain strong engineering standards for pipeline development, including design patterns, testing strategies, documentation, and operational excellence.
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  Drive reduction of technical debt, balancing short-term delivery needs with long-term platform health and sustainability.
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  Partner closely with Product Managers and Data Scientists to translate ambiguous business and analytical needs into clear, durable technical solutions.
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  Mentor and support other engineers through code reviews, design discussions, and knowledge sharing.

Ideal Candidate Qualifications

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  Extensive professional experience building and operating production-grade systems in Python (required).
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  Advanced SQL expertise, including query optimization and modeling for very large datasets (required).
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  Proven experience designing and delivering large-scale data pipelines or data platform components.
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  Strong working experience with Databricks or similar Spark-based data processing platforms.
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  Demonstrated ability to own systems in production, including observability, troubleshooting, and incident response.
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  Deep understanding of software design principles, data modeling, and engineering best practices.
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  Comfortable using LLM-based coding tools responsibly, with full ownership for correctness, testing, and maintainability of resulting code.
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  Excellent written and verbal English communication skills, with the ability to clearly explain complex technical topics to varied audiences.

Nice to have:

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  Experience with workflow orchestration tools (e.g., Airflow).
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  Prior experience working in analytics, economic data, or large-scale data products.