Data Architect - CDP & MarTech
Budget: ₹1,250 – ₹2,500 INR
3+ years of architecting and implementing customer data platforms and marketing solutions
• Hands-on experience with two or more marketing data technologies (DMP, MDM, CDP, CRM,
EDW)
• Minimum 1-year implementation experience for one or more Customer Data Platforms; Adobe
Experience Platform RTCDP, SalesForce CDP, Tealium CDP or Treasure Data CDP.
• Understanding of one or more public cloud offerings (AWS, Azure, and Google Cloud Platform)
and how to solution designs that are built around these functional technologies areas: cloud
compute, data storage, pub/sub, and workflow orchestration.
• Strong working knowledge of different SQL, NoSQL, datastores, Presto SQL, minimal python,
YAML / Digdag workflow config, CURL, REST API.
• Strong working knowledge of the practice and application of Data Classification standards, as
well as Column level data attribution & Role Based Access Controls
• Design, implementation, and utilization of analytics platforms, audience management
solutions, segment management solutions inclusive of the data model(s), schemas, predictive
analytics, propensity scoring, and data syndication.
• Ability to create, curate and deliver design documentation such as, but not limited to
• Data Definitions
• Data Classification tables & diagrams
• Integration Specifications for custom interfaces as well a configurable source connectors
• System / solution context matrices & diagrams
• Working experience with two or more of the leading tagging, analytics, and CDP platform(s)
including but not limited to:
• Adobe Experience Platform
• Adobe Launch
• Adobe Audience Manager
• Adobe Analytics
• Google Tag Manager Client Side Container
• Google Tag Manager Server Side Container
• Google Analytics v4
• Google Data Studio
• Google 360 Audience
• Segment CDP
• Exponea CDP
• Treasure Data CDP
• Understanding and experience with ETL tools and methodologies (Informatica, Talend, Spark,
AWS Glue, GCP Cloud Dataprep, Azure Data Factory, and similar)
• Understanding of data integration and API methodologies and tools (Mulesoft, Dell Boomi,
Custom API,, Tealium, Airflow, and similar)
• In-depth understanding of data management platforms including relational and non-relational
data engines (MS SQL, MySQL, PostgreSQL, Amazon Redshift, MongoDB, Hadoop, Snowflake,
Big Query, and similar)
• Hands-on experience with two or more marketing data technologies (DMP, MDM, CDP, CRM,
EDW)
• Minimum 1-year implementation experience for one or more Customer Data Platforms; Adobe
Experience Platform RTCDP, SalesForce CDP, Tealium CDP or Treasure Data CDP.
• Understanding of one or more public cloud offerings (AWS, Azure, and Google Cloud Platform)
and how to solution designs that are built around these functional technologies areas: cloud
compute, data storage, pub/sub, and workflow orchestration.
• Strong working knowledge of different SQL, NoSQL, datastores, Presto SQL, minimal python,
YAML / Digdag workflow config, CURL, REST API.
• Strong working knowledge of the practice and application of Data Classification standards, as
well as Column level data attribution & Role Based Access Controls
• Design, implementation, and utilization of analytics platforms, audience management
solutions, segment management solutions inclusive of the data model(s), schemas, predictive
analytics, propensity scoring, and data syndication.
• Ability to create, curate and deliver design documentation such as, but not limited to
• Data Definitions
• Data Classification tables & diagrams
• Integration Specifications for custom interfaces as well a configurable source connectors
• System / solution context matrices & diagrams
• Working experience with two or more of the leading tagging, analytics, and CDP platform(s)
including but not limited to:
• Adobe Experience Platform
• Adobe Launch
• Adobe Audience Manager
• Adobe Analytics
• Google Tag Manager Client Side Container
• Google Tag Manager Server Side Container
• Google Analytics v4
• Google Data Studio
• Google 360 Audience
• Segment CDP
• Exponea CDP
• Treasure Data CDP
• Understanding and experience with ETL tools and methodologies (Informatica, Talend, Spark,
AWS Glue, GCP Cloud Dataprep, Azure Data Factory, and similar)
• Understanding of data integration and API methodologies and tools (Mulesoft, Dell Boomi,
Custom API,, Tealium, Airflow, and similar)
• In-depth understanding of data management platforms including relational and non-relational
data engines (MS SQL, MySQL, PostgreSQL, Amazon Redshift, MongoDB, Hadoop, Snowflake,
Big Query, and similar)