Data Architect – Snowflake/Databricks

Job Title: Data Architect – Snowflake/Databricks Company: Systango Technologies Ltd Job Category: Machine Learning Roles & Responsibilities: Systango is a technology company listed on the NSE, delivering innovative digital solutions across Generative AI, AI/ML, Data Engineering, Analytics, Blockchain/Web3, Cloud, and FinTech. We partner with global clients to build scalable, secure, and high\-performance technology solutions.Role Overview ----------------- We are looking for an experienced Data Architect with strong expertise in Snowflake/Databricks to design and lead the implementation of scalable, cloud\-native data platforms. The ideal candidate will combine deep technical expertise in modern data architecture with hands\-on experience in data engineering, cloud ecosystems, data governance, and enterprise data strategy. You will work closely with engineering teams, business stakeholders, and client\-facing teams to translate business requirements into robust data architectures that support analytics, reporting, and AI/ML use cases.Key Responsibilities ------------------------ * Data Architecture: Define end\-to\-end data architecture, including data lakes, lakehouses, modern data warehouses, data marts, and enterprise data platforms. * Snowflake \& Databricks: Design and optimize data solutions using Snowflake OR Databricks, selecting appropriate architectural patterns based on business and technical requirements. * Data Engineering: Architect scalable batch and streaming pipelines, ETL/ELT workflows with medallion architecture, data transformations using dbt, and orchestration frameworks. * Cloud Platforms: Design data solutions on AWS, Azure, or GCP, integrating cloud storage, compute, security, and networking services. * Data Modelling: Define conceptual, logical, and physical data models, including dimensional modelling, Data Vault 2\.0, and normalized data structures. * Performance \& Cost Optimization: Optimize query performance, compute utilization, storage, workload management, and overall platform costs. * Data Governance \& Security: Establish standards for data quality, lineage, metadata management, access control, encryption, privacy, and regulatory compliance. * Architecture Standards: Define reusable architecture patterns, engineering best practices, coding standards, CI/CD processes, and data platform design principles. * Technical Leadership: Mentor data engineers and technical leads, conduct architecture reviews, and guide teams through complex technical decisions. * Stakeholder Collaboration: Work with product owners, business stakeholders, and clients to understand requirements and communicate architectural decisions effectively. * AI \& Analytics Enablement: Build data foundations that support BI, advanced analytics, machine learning, and Generative AI applications, including RAG and vector search use cases where applicable. Work Location: Indore, India Availability: Full time

Required Skills \& Experience --------------------------------- * 0-3 years of experience in data engineering, data architecture, or enterprise data platforms. * Strong hands\-on expertise in Snowflake/Databricks, including architecture, implementation, optimization, and production\-scale deployments. * Excellent proficiency in SQL and Python, with experience in PySpark and distributed data processing. * Strong understanding of modern data architecture patterns, including lakehouse, data warehouse, data lake, and medallion architecture. * Proven experience designing enterprise\-grade ETL/ELT pipelines and scalable data integration frameworks. * Experience with cloud platforms such as AWS, Microsoft Azure, or GCP. * Strong understanding of data modelling, dimensional modelling, Data Vault, and data warehouse design principles. * Must have strong hands\-on experience with Kafka, real\-time data streaming, event\-driven architectures, and high\-throughput distributed data processing. * Experience with orchestration tools such as Airflow, Azure Data Factory, or equivalent platforms. * Familiarity with data governance, data quality frameworks, lineage, metadata management, and enterprise security. * Experience with Git, CI/CD, infrastructure as code, and automated data deployment practices. * Demonstrated ability to lead architecture discussions, mentor engineers, and make sound technical decisions. * Proven experience building and mentoring Data Engineering teams, including junior engineers, through technical guidance, code reviews, and best\-practice implementation. * Must hold at least one valid Snowflake or Databricks certification. * Must have hands\-on experience designing and optimizing production data platforms processing petabytes of data. * Excellent communication, problem\-solving, and stakeholder management skills. * Experience with dbt, Delta Lake, Unity Catalog, Snowflake Dynamic Tables, or Snowpark. * Knowledge of Kafka, Spark Structured Streaming, or other real\-time data processing technologies. * Experience with data mesh, domain\-driven data architecture, or multi\-tenant data platforms. * Experience building data platforms for AI/ML, GenAI, feature engineering, and vector search. * Exposure to FinTech, payments, financial services, or other data\-intensive industries. Key Skills: Machine Learning, Python, Feature Engineering Salary: INR 453000 - 770000 per yearly