Lead Data Engineer

Job not on LinkedIn

🔥 18 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Momentum

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

💳 Fintech

💸 Finance

Consulting • Fintech • Finance

Momentum is one of the largest providers of alternative financial solutions in North America, with over 40 years of lending experience and a significant presence across the continent. The company serves more than 1. 6 million customers annually through a broad range of financial services including cash advances, installment loans, cheque cashing, prepaid cards, and money transfers. With over 420 branches and a strong focus on closing the gap between individuals and their financial goals, Momentum aims to deliver accessible and effective financial products to a diverse range of consumers.

📋 Description

• Design and deliver scalable data pipelines and data solutions using Snowflake, Snowflake Openflow (Apache NiFi), and dbt • Translate business and data requirements into technical designs, data flows, integration patterns, data models, and delivery plans • Build and maintain ingestion and orchestration flows in Openflow, dbt transformation models, and performant Snowflake workloads • Design reusable batch, change-data-capture, API, and file-based ingestion patterns with validation, reconciliation, restartability, and recovery • Develop advanced SQL and Python solutions through code reviews, troubleshooting, performance tuning, and complex issue resolution • Ensure data solutions meet data quality, security, scalability, maintainability, observability, and cost-efficiency expectations • Collaborate with architecture, analytics, platform, security, application, and business teams • Maintain technical documentation and reusable engineering patterns and standards • Lead Data Operations support and coordinate priorities, handoffs, and issue resolution across India-based data colleagues • Establish engineering practices for source control, peer review, testing, CI/CD, deployment, documentation, and production readiness • Mentor colleagues through design and code reviews and promote cross-training • Own and mature Data Operations, including support coverage, incident response, escalation paths, runbooks, recovery procedures, and service expectations • Drive automated monitoring, alerting, and recovery across data platforms and pipeline workloads • Track service health and incident trends, lead root-cause analysis, and improve reliability and operational efficiency

🎯 Requirements

• Bachelor's degree in computer science, engineering, information systems, or an equivalent combination of education and relevant experience • 10+ years of hands-on data engineering experience, including at least 2 years leading technical delivery or production operations • Strong production experience with cloud data technologies in Snowflake, AWS, Azure, or GCP • Experience with solution design, data structures, performance tuning, workload management, security, and cost optimization • Strong hands-on experience with dbt, including model design, testing, documentation, dependencies, reusable macros, and deployment across environments • Experience with Git-based development, automated testing, CI/CD, Terraform, and repeatable environment-promotion practices • Advanced SQL skills and experience building maintainable, testable production data pipelines and data products • Experience designing ETL/ELT solutions across batch, CDC, API, and file-based ingestion • Experience applying data modeling, quality, validation, and recovery practices • Strong solution-design, communication, and technical-leadership skills • Ability to guide decisions, mentor engineers, and work across business and technology teams • Nice to have: Snowflake and AWS production experience • Nice to have: Apache NiFi or Snowflake Openflow experience • Nice to have: relational database experience with RDS and PostgreSQL • Nice to have: financial services or regulated-environment experience • Nice to have: automated observability, data-quality, metadata, lineage, or data-catalog tools • Nice to have: certification in Snowflake, dbt, Apache NiFi, AWS, or data management

🏖️ Benefits

• Comprehensive medical coverage for employee, spouse, two children, and two parents • ₹6 lakhs annual medical coverage • Optional ₹5 lakhs medical top-up with monthly deduction • Employer Provident Fund contribution of ₹1,800 per month • Annual performance-based bonus of up to 5% of base salary • Bucketlist point-based rewards redeemable for gift cards, experiences, and personalized perks • Recognition of milestones, achievements, and impact • Currently remote work model, with a future transition to hybrid • 15 annual leaves • 6 casual leaves • 12 sick leaves • Upskilling programs, mentorship, and professional development resources • Internal mobility programs • Support for leadership development, industry certifications, and specialized training • Collaboration with global teams and exposure to international best practices