
Data Architect
24 hours ago
Netskope - Data Architect
Posted today
Job Description
Position Summary
We are seeking a skilled and visionary Data Architect to lead the design, development, and operation of a cloud-based data operations platform. In this role, you will also act as the Product Owner for the Data Operations Scrum Team, driving the delivery of impactful business outcomes.
As a Data Architect, you will define and execute the vision for a secure, scalable, and fault-tolerant platform that enables near real-time operational and analytics-ready data for the business. You\'ll collaborate closely with stakeholders and lead a high-performing, cross-functional team to deliver innovative solutions in a fast-paced environment. This role requires expertise in modern data architecture, cloud technologies, Agile leadership, and DevOps practices, along with strong business acumen and prioritization skills.
- Design and implement scalable, secure, and efficient data architectures.
- Develop and enforce data management strategies, including modeling, integration, warehousing, and migration.
- Oversee the implementation of cloud-native data platforms, ensuring optimal performance, cost-efficiency, and reliability.
- Define and uphold data governance standards to ensure regulatory compliance and adherence to best practices.
- Collaborate with cross-functional teams to align the data architecture with business goals.
Product Ownership
- Establish and maintain a clear product vision, roadmap, and backlog for the data platform.
- Prioritize features, enhancements, and technical debt based on business value, stakeholder input, and team capacity.
- Act as the primary bridge between stakeholders and the Scrum team, ensuring alignment on objectives and deliverables.
- Write clear, actionable user stories and acceptance criteria for the development team.
- Facilitate Scrum ceremonies, including sprint planning, reviews, and retrospectives, to maximize team productivity.
Qualifications
- 8+ years of experience in data architecture, data engineering, or related fields.
- Proven expertise in designing and implementing data lakes, data warehouses, and real-time streaming solutions.
- Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native services.
- Proficiency in modern data tools and technologies, including SQL, Python, Spark, Kafka, and ETL frameworks.
- Familiarity with data governance tools (e.g., Collibra, Alation) and regulatory compliance (e.g., GDPR, CCPA).
- 3+ years as a Product Owner or similar role in an Agile environment.
- Deep understanding of Scrum and Agile methodologies, including backlog management and sprint planning.
- Excellent communication and stakeholder management skills, with the ability to translate between technical and business needs.
- Strong leadership, problem-solving, and coaching skills.
- Familiarity with DevOps practices, microservices architecture principles, and networking fundamentals (e.g., OSI model, security).
Preferred
- Master\'s degree in Computer Science, Data Science, Information Systems, or a related field.
- AWS Certifications (e.g., Solutions Architect Professional, DevOps Engineer, Security).
- Experience building secure systems compliant with ISO 27001 and NIST standards.
- Hands-on experience with data visualization tools (e.g., Tableau, Looker, Power BI) and machine learning pipelines.
- Proven ability to manage large-scale data operations and cross-functional teams.
About You
You are a proactive, team-oriented leader passionate about driving data-driven innovation. With a strong foundation in data architecture and Agile practices, you thrive in dynamic environments and excel at delivering impactful solutions that align with business goals.
Netskope is committed to equal employment opportunities for all employees and applicants. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran status, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by law.
Privacy: Netskope\'s Privacy Policy applies.
Data Architect – Schneider Electric (Example)Posted today
Role: Data Architect
As a Data Architect, you will lead the design and implementation of scalable, secure, and high-performance data platforms using AWS and Databricks. You\'ll define architectural standards and guide engineering teams to ensure alignment with business and analytics goals.
- Design and maintain enterprise-grade data architecture using AWS and Databricks.
- Define data modeling standards, metadata management, and governance frameworks.
- Evaluate and recommend technologies to enhance data capabilities.
- Ensure security, scalability, and cost-efficiency of data platforms.
- Collaborate with engineering and analytics teams to align architecture with business needs.
- Mentor data engineers and promote best practices in architecture and design.
Qualifications
- Bachelor\'s or Master\'s degree in Computer Science, Engineering, or related field.
- 5+ years in data architecture with AWS and Databricks.
- Expertise in data modeling, data lakehouse design, and cloud-native architectures.
- Strong understanding of data governance, security, and compliance.
- Experience with Infrastructure as Code and CI/CD pipelines.
- Leadership, communication, and strategic thinking skills.
- Work location available in Rosario, Cavite OR BGC, Taguig.
Why us?
Schneider Electric is leading the digital transformation of energy management and automation. Equal opportunity employer. Benefits include healthcare, retirement planning, and more.
Data Architect – Healthcare (Example)Taguig, National Capital Region
Responsibilities include designing secure and scalable healthcare data architectures, governance, interoperability (HL7, FHIR), HIPAA/GDPR compliance, and data quality. Lead data pipelines and mentor engineers.
- Design and implement scalable, secure healthcare data architectures in cloud.
- Governance, metadata management, data lineage, and auditability.
- Interoperability between EHRs, LIS, PACS (HL7, FHIR, DICOM).
- Guide data engineers in building data pipelines and real-time processing.
Qualifications
- 10+ years in data architecture with healthcare domain experience.
- Relational and NoSQL database knowledge; data warehousing and lakehouse experience.
- Data governance tools (e.g., Collibra, Alation).
- Leadership and stakeholder management.
Posted today
Role: Data Solutions Architect
Define how data flows across systems, enabling interoperability and scalable, secure platforms. Proficiency in cloud-native platforms, APIs, and real-time streaming.
- Define enterprise data platform architecture (data lakehouses, data meshes, hybrid cloud).
- Architect core data components (ingestion, processing, storage, APIs).
- Integrate platforms (Databricks, Snowflake, Kafka/Confluent, Atlan).
- Standards for scalability, resilience, and cost optimization.
- Patterns for batch, streaming, and API integrations.
- Mentor teams on platform usage and event-driven architectures.
Governance & Security
- Embed security, privacy, and compliance in integrations.
- Metadata management, data lineage, auditability.
- Lead platform modernization to support AI/ML and real-time analytics.
Qualifications
- Bachelor\'s/Master\'s in CS or related field.
- 5+ years in data engineering or architecture.
- Cloud experience (AWS) and platforms (Databricks, Snowflake, Kafka/Confluent).
- Integration patterns (ETL/ELT, APIs, streaming).
About You
Demonstrated ability to translate business needs into data solutions and lead跨-functional teams.
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