This is a remote position.
We are seeking a strategic and technically strong Data Architect to define, design, and govern enterprise data architecture and integration frameworks. This role is responsible for establishing scalable, secure, and high-performing data ecosystems that enable advanced analytics, business intelligence, and operational excellence.
The ideal candidate will bring deep expertise in data modeling, architecture patterns, integration strategies, and data governance, along with the ability to translate business needs into cohesive data solutions across complex, hybrid environments.
- Lead architecture decisions for GCP data platforms.
- Ensure scalability, security, and performance across data platforms and pipelines.
- Define standards for DevOps/DataOps practices, including CI/CD, monitoring, and cost optimization.
- Drive adoption of modern data architecture patterns (Data Mesh, Lakehouse, etc.).
- Architect robust data integration frameworks across internal systems, APIs, SaaS platforms, and cloud services.
- Define standards for batch and real-time data processing, including event-driven architectures and streaming platforms (e.g., Kafka, Pub/Sub).
- Guide the design of ETL/ELT pipelines, ensuring scalability, reusability, and performance (execution may be handled by engineering teams).
- Define and enforce data governance frameworks, including data quality, stewardship, lineage, and metadata management.
- Establish enterprise standards for data validation, consistency, and observability.
- Partner with stakeholders to implement data catalogs, lineage tracking, and master data management (MDM) strategies.
- Ensure compliance with data privacy and regulatory requirements (e.g., HIPAA, GDPR).
- Collaborate with data engineers, data scientists, business leaders, and application teams to align architecture with business goals.
- Provide architectural guidance and oversight for data-related initiatives and projects.
- Mentor engineering teams on best practices in data architecture, modeling, and integration design.
- Act as a key advisor on data strategy and decision-making across the organization.
- 8–12+ years of experience in data engineering, data architecture, or enterprise data platform roles.
- Strong experience designing enterprise data architectures, data models, and integration frameworks.
- Deep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow.
- Proficient in SQL, Python, and scripting for data manipulation and automation
- Experience with ETL/ELT tools (Informatica, Talend, SSIS, etc.) from an architectural/design perspective.
- Strong understanding of APIs, microservices, and distributed systems.
- Experience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis).
- Hands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks).
- Experience implementing Data Lake, Lakehouse, or Data Mesh architectures.
- Familiarity with data governance tools, data catalogs, and metadata management solutions.
- Industry experience in healthcare, fintech, or e-commerce environments.
Skills Required
- 8-12+ years of experience in data engineering, data architecture, or enterprise data platform roles
- Experience designing enterprise data architectures, data models, and integration frameworks
- Deep knowledge of GCP cloud data platforms and services such as Google Cloud Dataflow
- Proficiency in SQL, Python, and scripting for data manipulation and automation
- Experience with ETL/ELT tools such as Informatica, Talend, or SSIS from an architectural or design perspective
- Strong understanding of APIs, microservices, and distributed systems
- Experience with streaming and event-driven architectures, including Kafka, Pub/Sub, or Kinesis
- Hands-on knowledge of Snowflake, BigQuery, Redshift, or Databricks
- Experience implementing Data Lake, Lakehouse, or Data Mesh architectures
- Familiarity with data governance tools, data catalogs, and metadata management solutions
- Industry experience in healthcare, fintech, or e-commerce environments
What We Do
KANINI is a digital transformation enabler, providing cutting-edge software services and solutions that help enterprises drive innovation and business growth. We create impeccable customer experiences through thoughtfully designed digital solutions that help improve our customer’s efficiency, scale, and revenues. We specialize in Product Engineering, Data Analytics & AI, and ServiceNow consultation and implementation. We focus on empowering Banking & Financial Services, Healthcare, Manufacturing, and a few other industries to leverage new-age technologies and solutions by implementing agile development practices and a global delivery framework. We build technology that puts humans first - in line with our core operating principle that technology is for people, not the other way around. The result is happier clients, partners, and employees. We do all this by balancing our customers’ needs with our people’s aspirations, always putting humans first. It means: * We prioritize each individual’s personal goals. * We value relationships more than profits. * We treat our clients as partners. Our people come to work because it makes them happy. They smile more often. They love getting better at what they do. And our offices become a second home. Even as they spend more time away from it. If you think all this is just as important to you, bring us your Energy, Intellect and Integrity. We’ll show you a happier way to work
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