- Bachelor s or Master s degree in Engineering, Computer Science, Information Technology, or a related field.
- 8-12 years in marketing analytics, data integration, or media measurement, including direct client-facing experience.
- Keen understanding of the media-measurement landscape, including media mix modeling and a variety of attribution models (last-touch, multi-touch, algorithmic, etc.).
- Experience working with Azure data platforms, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and related Azure services.
- Strong understanding of ETL/ELT processes and modern data integration patterns.
- Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, XML, Parquet, Avro, etc.).
- Solid SQL skills and experience with data modeling concepts.
- Hands-on experience defining data mapping and transformation specifications.
- Experience implementing data quality frameworks, validation rules, and reconciliation processes.
- Good understanding of APIs, REST services, file-based integrations, messaging, and event-driven architectures.
- Demonstrated ability to multi-task and prioritize in a high-pressure, data-driven environment.
- Advanced proficiency in Excel and SQL; strong Python skills for data wrangling and automation.
- Proven experience designing and managing ETL pipelines and optimizing performance on large datasets.
- Familiarity with a broad spectrum of ad-tech platforms, such as: Ad Servers: DoubleClick, Atlas, Sizmek Search Engine Management: Kenshoo, Marin Web Analytics: Omniture, Google Analytics DSPs: Turn, MediaMath, The Trade Desk DMPs: Krux, BlueKai, Adobe Audience Manager Attribution Platforms: ClearSaleing, Adometry, Neustar
- Strong analytical mindset; comfortable exploring, validating, and synthesizing large volumes of marketing data.




- Exceptional written and verbal communication skills; able to translate complex technical topics for executive-level stakeholders.
- Proven track record of overseeing multiple projects simultaneously and delivering on tight deadlines.

Senior Solution Architect to lead the delivery of our media-measurement product suite across multiple, concurrent client engagements. You will architect complex data integrations, crunch large scale datasets, and serve as a subject-matter expert on media mix modeling, attribution, and ad-tech ecosystems. This is a hands-on, client-facing role that balances technical execution with project leadership. Key Responsibilities Own end-to-end solution architecture for several clients at once scoping, designing, and deploying MSquared s media-measurement platform. Lead requirements workshops and translate business needs into scalable data models, ETL pipelines, and reporting frameworks. Design and optimize ETL processes that ingest high-volume, multi-channel marketing data. Crunch big data sets using advanced SQL and Python, delivering actionable insights on media performance. Conduct rigorous QA of both raw data and final outputs to ensure accuracy, consistency, and reliability. Collaborate with cross-functional teams (Solution Architects, Data Engineers, Project Managers) to meet aggressive timelines in a fast-paced environment.



Act as the primary point of contact for onboarding new external data vendors and ensuring smooth integration into the enterprise data platform. Collaborate with external vendors to understand their data models, schemas, formats, and delivery mechanisms. Define and standardize data mapping, transformation, and normalization rules to convert vendor-specific data into enterprise-standard formats. Design and establish scalable integration approaches for ingesting data into the Azure Enterprise Data Warehouse. Evaluate and recommend appropriate integration patterns, including APIs, SFTP, event-based integrations, file-based ingestion, and other data exchange mechanisms. Partner with vendors and internal architecture teams to define secure, scalable, and reliable data exchange ("handshake") mechanisms. Develop and enforce data quality rules, validation frameworks, and cleansing processes before data is loaded into the enterprise warehouse. Perform data profiling, identify data anomalies, and work with vendors to resolve data quality issues at the source. Collaborate with Data Engineering, Data Governance, Architecture, and Business teams to ensure enterprise data standards are consistently applied. Document data mappings, integration specifications, validation rules, and onboarding guidelines. Support testing, reconciliation, and production readiness activities for new vendor integrations. Drive continuous improvements in vendor onboarding, data integration, and data quality processes. Knowledge on creating and enhancing Power BI dashboards

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Solution Architect/ Data Integration Specialist (Tamil Nadu)
🏢 Bahwan Cybertek
📍 Tamil Nadu