Lead Engineer – Data Streaming

Empower

Lead Streaming Engineer designing, building, and scaling modern data platforms for financial services. Collaborating with teams to deliver high-quality data solutions and mentoring engineers.

Posted 5/4/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAnsibleCloudDistributed SystemsDockerETLKafkaKubernetesOraclePostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design and implement scalable data platform solutions, including data streaming, CDC, data warehouses, data lakes, and ETL/ELT pipelines.
Contribute to and help enforce platform standards, best practices, and design patterns for cloud-based data technologies.
Build and support end-to-end data integration pipelines from source systems through Kafka/Striim (or similar) into analytical and operational platforms.
Lead technical design discussions and contribute to architecture reviews for complex data solutions.
Ensure high reliability and performance of data platforms through observability, monitoring, and proactive issue resolution.
Act as a senior escalation point for troubleshooting production issues and optimizing system performance.
Partner with platform engineering, security, and data governance teams to align implementations with enterprise standards.
Promote an automation-first mindset by implementing CI/CD pipelines, infrastructure as code, and testing frameworks.
Contribute to operational resilience through robust error handling, replay capabilities, and validation strategies.
Evaluate and adopt new tools and technologies to continuously improve the data platform ecosystem.
Mentor and guide engineers, fostering strong engineering practices and technical growth across the team.

Requirements

What you’ll need

Bachelor’s degree in Computer Science or equivalent experience
8+ years of software or data engineering experience with demonstrated technical leadership
Strong hands-on experience building and operating large-scale data platforms in production environments
Experience designing and maintaining CI/CD pipelines for data and platform engineering workflows
Experience with databases and data platforms such as Oracle, PostgreSQL, Redshift, Snowflake, and Kafka (or similar technologies)
Familiarity with containerization and infrastructure tools such as Docker, Kubernetes, Terraform, and Ansible
Strong programming and querying skills (e.g., Python, SQL)
Solid understanding of distributed systems, cloud architectures, and data engineering design patterns
Strong problem-solving, communication, and collaboration skills.

Benefits

Comp & perks

Flexible work environment
Internal mobility
Purpose and well-being focus
Work-life balance
Inclusive environment
Volunteer opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data platform solutionsdata streamingCDCdata warehousesdata lakesETLELTCI/CD pipelinesPythonSQL

Soft Skills

technical leadershipproblem-solvingcommunicationcollaborationmentoringdesign discussionsissue resolutionengineering practicesoperational resilienceautomation mindset

Certifications

Bachelor’s degree in Computer Science