Snowflake Data Platform Engineer
We are seeking an experienced Cloud Data Platform Engineer to design, administer, and optimize cloud data platforms, with a strong focus on Snowflake, Snowpark Container Services, data integration, and scalable analytics solutions.
Key Responsibilities
Administer and optimize Snowflake, Amazon Redshift, and other cloud data platforms, including security, access, performance, and cost optimization.
Design and support scalable data models, data pipelines, workflows, and integrations for analytics and reporting.
Manage scheduling, monitoring, troubleshooting, and performance tuning of data pipelines.
Implement data governance, security, access controls, and platform standards.
Design, deploy, and support Snowpark Container Services and containerized applications.
Develop solutions using Python and/or Java, with experience in Docker and Kubernetes.
Evaluate opportunities to leverage AI, Generative AI, and intelligent automation within data platforms and integration processes.
Develop and review technical/reference architectures and drive continuous platform improvements.
Collaborate effectively with business and technical stakeholders to deliver scalable data solutions.
Required Qualifications & Skills
8–10+ years of hands-on experience with cloud data platforms.
Strong expertise in Snowflake architecture, administration, security, data integration, and performance tuning.
Experience with Snowpark Container Services.
Strong SQL skills, including query optimization and performance tuning.
Experience with Amazon Redshift, Azure Synapse, or similar cloud data warehouses.
Hands-on experience with Informatica or equivalent ETL tools.
Experience with Python or Java, Docker, Kubernetes, and containerized application deployment.
Understanding of AI, Generative AI, and intelligent automation.
Strong communication, problem-solving, and stakeholder management skills.
Education & Certifications
Bachelor’s degree in Computer Science, Engineering, or related field preferred; equivalent experience considered.
Snowflake, AWS, or other data platform certifications are a plus
Informatica & MDM Governance Engineer
We are seeking an experienced **Informatica & MDM Governance Engineer** to design, implement, and support enterprise data integration, Master Data Management (MDM), and data governance solutions. The role will focus on improving data quality, consistency, security, and governance across enterprise systems.
**Key Responsibilities**
* Design, implement, and support **Informatica MDM and Data Governance** solutions.
* Develop and maintain **data integration, ETL/ELT, and data quality** processes using Informatica.
* Define and implement **MDM strategies, governance frameworks, standards, and policies**.
* Establish data ownership, stewardship, business definitions, and **data governance workflows**.
* Design and manage **master data models, hierarchies, relationships, mappings, and reference data**.
* Implement data quality rules, profiling, cleansing, matching, merging, and validation processes.
* Support integration of MDM with **SAP, CRM, ERP, cloud data platforms, and downstream applications**.
* Monitor data quality and governance KPIs and drive continuous improvement.
* Implement **security, access controls, auditability, and compliance** for master and governed data.
* Collaborate with business data owners, data stewards, architects, and technical teams to translate requirements into scalable solutions.
* Support development of **technical/reference architectures** and enterprise data standards.
* Identify opportunities to leverage **AI, Generative AI, and intelligent automation** for data quality and governance.
**Required Qualifications & Skills**
* **8–10+ years** of experience in Informatica, MDM, data integration, or data governance.
* Strong hands-on experience with **Informatica MDM** and Informatica data integration tools.
* Experience with **Informatica Data Quality (IDQ)** and data profiling/cleansing.
* Strong understanding of **MDM concepts, data governance, data quality, metadata, and reference data management**.
* Experience designing **data models, hierarchies, match/merge rules, and survivorship strategies**.
* Strong **SQL** skills and experience working with relational and cloud data platforms.
* Experience integrating MDM with **SAP/S4HANA, CRM, ERP, APIs, and enterprise applications**.
* Knowledge of **cloud platforms, data warehouses, and modern data architectures**.
* Understanding of data security, privacy, compliance, and access-control concepts.
* Strong analytical, problem-solving, communication, and stakeholder-management skills.
**Education & Certifications**
* Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred; equivalent experience considered.
* **Informatica, MDM, Data Governance, AWS, Azure, or other data certifications** are a plus.
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