Senior Data Platform and Integration Engineer

Sampoorna Consultants • 3 days a week in the office • Bachelor's Degree • Python • Java • SQL • ABAP • Power BI • ETL/ELT • Azure Data Factory • 7 days ago

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Salary

≈ $20k – $40k per year (Estimated)

Location

Hybrid (Mumbai, India)

Seniority

Senior · 6+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 9, 2026.

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Sampoorna Consultants

Sampoorna Consultants is an IT recruitment firm headquartered in Mumbai that places IT, ITES and telecom professionals through its Sampoorna Computer People permanent hiring division, Sampoorna Top Search executive search practice, startup services and ICT contract staffing. Established in 1990 by the late Satish Doshi, it holds ISO 9001:2015 certification, is a founder member of the Executive Recruiters Association and has offices in Mumbai, Bengaluru, Chennai, Hyderabad, Delhi NCR and Pune. Its listings are mostly client vacancies such as Java, .NET and data engineers, SAP consultants and technical project managers, plus in-house recruiter and trainee roles.

sampoorna.com • HQ: Mumbai, India • Recruiting & Staffing • 51-200 employees • Est. 1990

Job Location: Juinagar, Navi Mumbai
Work Mode: Hybrid (3 days/week in office)
Job Responsibilities:
Collaborate with business stakeholders, product owners and leadership to translate business requirements into scalable data solutions.
Define and evolve the target architecture for companies enterprise data platform spanning Azure, Snowflake, Databricks and SAP BTP.
Establish an API-first integration strategy (REST, event-driven, microservices) and govern its adoption across teams.• Drive the “Clean Core” strategy, enabling agile side-by-side extensions through SAP BTP while protecting the SAP S/4HANA core.
Design and govern a secure Data Marketplace with automated classification, lineage and access policies using Microsoft Purview and Snowflake Horizon.
Define architectural standards, design patterns, and best practices for data ingestion, transformation, and distribution.
Evaluate and recommend emerging technologies (Microsoft Fabric, Snowflake Cortex/Intelligence, Databricks Genie, RAG/AI) to advance the platform roadmap.
Hands On Experience:
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and distribution across cloud environments.
Build and manage integrations between SAP and non-SAP enterprise systems and cloud data platforms (Azure Data Factory, Databricks, Snowflake).
Implement real-time data streaming and Change Data Capture (CDC) mechanisms using Kafka, Azure Event Hub, or similar technologies.
Develop API-based and event-driven integration solutions, including authentication (OAuth2, OIDC) and API gateway configuration.
Design advanced data models (relational, star, snowflake schemas) optimized for analytical workloads in Snowflake and Databricks.
Automate deployment and lifecycle management using CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent).
Optimize pipeline performance, scalability, and cost efficiency; troubleshoot and resolve production issues.
Implement data governance, security controls, encryption and lineage tracking within the platform.
Qualification:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
6+ years of professional experience in data engineering, data platform architecture, or cloud-based integration - with a demonstrable mix of strategic design and hands-on implementation.
Strong proficiency in SQL and Python; additional experience with R or Java is a plus.
Deep hands-on experience with Microsoft Azure services (Data Lake, Data Factory, Databricks) and Snowflake architecture and optimization.• Proven expertise in ETL/ELT frameworks and tools, including batch, CDC and streaming patterns.
Strong knowledge of API-driven architectures, REST APIs, event-driven messaging (Kafka, Event Hub, Service Bus), and authentication protocols (OAuth2, OIDC).
Experience integrating SAP systems (S/4HANA, BTP, Datasphere) with cloud data platforms.
Solid understanding of data governance, security, encryption and lineage principles.
Experience with CI/CD practices and infrastructure-as-code.
Strong analytical, communication, and stakeholder management skills; comfortable working in cross-functional, international teams using agile methodologies.
Preferred Skills & Experience:
Experience with Microsoft Fabric and Power Platform / Power BI.
Hands-on exposure to AI/ML capabilities on Snowflake (Cortex, Intelligence), Databricks (Genie), or SAP Joule.
Relevant certifications in Azure, Snowflake or Databricks.
Experience in regulated industries such as pharmaceuticals or healthcare
Understanding of Pharma 4.0 (the pharmaceutical-industry analog to Industrie 4.0) - digitalization of GxP-regulated manufacturing and quality processes, including MES/LIMS integration, data integrity and connectivity between shop-floor (OT) and enterprise (IT) systems.

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