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Momentum
Momentum
51 – 200 Employees
H1B Visa SponsorConsultingFinanceFintech
Momentum provides alternative financial services to consumers across North America, drawing on more than 40 years of lending experience. Through a network of over 420 branches, the company serves more than 1.6 million customers each year with products including cash advances, installment loans, cheque cashing, prepaid cards, and money transfers. Its work sits at the intersection of finance and fintech, with a focus on making practical financial solutions more accessible to people working toward their financial goals.
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Lead Data Engineer (India Remote)

Lead the development of scalable Snowflake, dbt, and AWS data platforms for financial services in India. Oversee Data Operations and deliver dependable, production-ready data products.

INIndiaRemoteFull-timeSeniorEnglish RequiredData Engineer
ApacheAWSAzureCloudETLGoogle Cloud PlatformPostgresPythonSQLTerraform

Description

  • Build scalable data pipelines and solutions with Snowflake, Snowflake Openflow (Apache NiFi), and dbt
  • Convert business and data needs into technical designs, data flows, integration approaches, data models, and delivery plans
  • Develop and support Openflow ingestion, dbt transformation models, and high-performance Snowflake workloads
  • Create reusable batch, change-data-capture, API, and file-ingestion patterns with validation, reconciliation, restartability, and recovery controls
  • Develop advanced SQL and Python solutions through code reviews, troubleshooting, performance optimization, and complex problem resolution
  • Ensure data platforms satisfy expectations for quality, security, scalability, maintainability, observability, and cost efficiency
  • Partner with architecture, analytics, platform, security, application, and business stakeholders
  • Maintain technical documentation, reusable engineering patterns, and development standards
  • Lead Data Operations support while coordinating priorities, handoffs, and issue resolution among India-based data teams
  • Define engineering practices covering source control, peer review, testing, CI/CD, deployment, documentation, and production readiness
  • Mentor colleagues through design and code reviews while encouraging cross-training
  • Own and advance Data Operations through support coverage, incident response, escalation processes, runbooks, recovery procedures, and service expectations
  • Implement automated monitoring, alerting, and recovery for data platforms and pipeline workloads
  • Monitor service health and incident patterns, lead root-cause investigations, 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
  • At least 10 years of hands-on data engineering experience, including 2 or more years leading technical delivery or production operations
  • Strong production experience with cloud data technologies including Snowflake, AWS, Azure, or GCP
  • Experience with solution design, data structures, performance tuning, workload management, security, and cost optimization
  • Extensive hands-on dbt experience covering model design, testing, documentation, dependencies, reusable macros, and multi-environment deployment
  • Experience with Git-based development, automated testing, CI/CD, Terraform, and repeatable environment-promotion processes
  • Advanced SQL expertise and experience creating maintainable, testable production data pipelines and products
  • Experience designing ETL/ELT solutions for batch, CDC, API, and file-based ingestion
  • Experience applying data modeling, data quality, validation, and recovery practices
  • Strong solution-design, communication, and technical-leadership capabilities
  • Ability to guide technical decisions, mentor engineers, and collaborate across business and technology teams
  • Preferred: production experience with Snowflake and AWS
  • Preferred: experience with Apache NiFi or Snowflake Openflow
  • Preferred: relational database experience with RDS and PostgreSQL
  • Preferred: experience in financial services or regulated environments
  • Preferred: experience with automated observability, data-quality, metadata, lineage, or data-catalog tools, plus certification in Snowflake, dbt, Apache NiFi, AWS, or data management is advantageous.
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Benefits

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

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