[Hiring] Senior Data Engineer @LeewayHertz

Role Description

We are seeking a Technical Architect with 10+ years of overall technology experience, including proven experience architecting and delivering production Generative AI systems. The ideal candidate will combine deep hands-on command of large language models, retrieval-augmented generation, and agentic architectures with the judgement to design AI solutions that hold up under real enterprise constraints of cost, latency, security, and compliance.

• This role owns the technical architecture of AI engagements end-to-end.
• Shaping the solution during discovery and pre-sales.
• Defining reference architectures and integration patterns.
• Selecting models and platforms.
• Guiding delivery teams through implementation.
• Working directly with client stakeholders, product managers, and engineering leads.
• Setting the technical standards of our AI practice.
• This is a senior, hands-on architecture role rather than a purely advisory one.
• Owning multiple concurrent AI engagements from discovery through production.
• Acting as a trusted advisor to clients.
• Leading engineering teams and mentoring future technical leaders.
• Driving engineering excellence through hands-on involvement.

Qualifications

• 7 - 8 years of hands-on data engineering experience building and running production data pipelines at scale.
• Strong expertise in Azure and Azure data services (ADLS Gen2, Azure Databricks, Azure DevOps).
• Deep hands-on experience with Databricks: PySpark, Spark SQL, Delta Lake, Lakehouse / medallion architecture and Databricks Workflows.
• Strong Snowflake experience (data modeling, performance tuning, loading and optimization).
• Proficiency in SQL and Python.
• Experience integrating data from SAP and other enterprise ERP / source systems into a data lake or warehouse.
• Solid data modeling (dimensional, star/snowflake, Lakehouse) and ETL/ELT design.
• Building data-quality, validation, reconciliation and pipeline monitoring / observability.

Requirements

• Excellent communication and interpersonal skills, with the ability to engage with all levels of employees and management.
• Collaborative approach to effectively present and advocate for quick design solutions.
• Stay updated on the latest design trends, tools, and technologies, bringing innovative ideas to enhance the product experience.
• A proactive approach to problem solving, with a focus on delivering exceptional customer satisfaction.

Certifications

• At least one current certification is required; multiple is a strong plus:
• Databricks Certified Data Engineer Associate or Professional. (Required)
• Microsoft Certified: Azure Data Engineer Associate (DP-203), or Azure Fundamentals (DP-900 / AZ-900).
• SnowPro Core or SnowPro Advanced: Data Engineer (Snowflake).

Preferred Skills

• Familiarity with SAP finance / ERP data domains (Accounts Receivable, invoice-to-pay, bank statements).
• Streaming and event-driven pipelines (Apache Kafka / Azure Event Hubs).
• Workflow orchestration (Apache Airflow, Databricks Workflows).
• Databricks Unity Catalog and Delta Live Tables.
• Infrastructure as Code (Terraform) and containerization (Docker).
• Data governance, lineage and cost/performance optimization on Databricks and Snowflake.
• Exposure to BI / visualization tools (Power BI, Tableau).

Other Relevant Information

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 7 - 8 years of experience in data engineering & architecture, including hands-on Databricks and Azure DevOps CI/CD.

Benefits

• This role offers the flexibility of working remotely in India.
• LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status.
• We encourage a diverse range of applicants.