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Technical Lead - Data Engineer (Data&AI)

Srijan TechnologiesIndia🌍 Remote
Full-time7-15
👁️ 0 views📝 0 applicationsPosted 8/21/2026Expires 10/20/2026
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Job Description

Lead Data Engineer Overview We are looking for a Lead Data Engineer who combines hands-on multi-platform expertise with strong leadership in data architecture, pipelines, and CI/CD.

This role requires a versatile engineer with deep technical skills across modern data platforms (such as Databricks, Snowflake, AWS, and Azure), an understanding of MLOps/DevOps practices, and the ability to guide a high-performing team in building scalable, production-ready data solutions.

You will not be limited to a single platform but will leverage a diverse toolkit to solve complex data challenges.

Key Responsibilities

· Pipeline & Architecture: Lead hands-on development of scalable ETL/ELT pipelines, data models, and integration frameworks to process high-volume (billions of records) structured and unstructured retail data.

· Multi-Platform Engineering: Design, develop, and optimize data processing applications across multiple platforms, including Databricks (Spark/Delta Lake), Snowflake, AWS, or Azure.

· Data Integration & Orchestration: Build and manage robust data pipelines using Apache Airflow for orchestration and Airbyte for seamless data integration and movement.

· Data Processing: Architect and implement robust solutions for Change Data Capture (CDC), large-scale batch processing, and low-latency real-time/streaming data processing.

· API Management: Work extensively with external APIs for data ingestion, as well as design, create, and manage internal REST APIs to serve data to downstream applications and users.

· AI-Augmented Deliverables: Actively leverage AI assistants to conceptualize, design, and accelerate the development of data pipelines and everyday engineering tasks. · DevOps & CI/CD: Own and evolve CI/CD pipelines (Git workflows, automated testing, release cycles, secrets management, documentation).

Guide DevOps-oriented deployments utilizing Dockerized applications, Kubernetes orchestration, and monitoring/logging tools (Splunk, Datadog, Dynatrace). · MLOps Alig

Required Skills

Data EngineeringETLELTDatabricksSnowflakeAWSAzureApache AirflowAirbyteChange Data CaptureBatch ProcessingReal-time ProcessingREST APIsCI/CDDockerKubernetesMLOpsDevOpsAIGitAutomated TestingMonitoringLoggingSplunkDatadogDynatrace

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