Data Solution Architect

3 weeks ago

New Delhi, India Bristlecone Full time

Position Title:Data Solutions ArchitectLocation:[Bangalore / Flexible / Remote] Experience Required:10+ years Employment Type:Full-timeRole Overview We are seeking an accomplishedData Solutions Architectwith deep experience in designing, implementing, and optimizing modern cloud data platforms. The ideal candidate will expertly leverageSnowflake, Databricks, DBT, Airflow, Python, PySpark, and have hands-on exposure to advancedAI/ML and Generative AI (GenAI)solutions in real-world enterprise environments. You will partner with business and tech leaders to deliver scalable, innovative data products, architectures, and analytics capabilities.Responsibilities Architect and implement scalable data platforms, pipelines, and solutions using Snowflake, Databricks, DBT, Airflow, Python, and PySpark Lead cloud data migration projects, designing robust, secure, and reusable analytics architectures Develop and optimize ELT/ETL workflows for batch and real-time processing Design dimensional models, data lakes, data marts, and advanced analytics infrastructures Oversee and mentor data engineering teams in coding standards, CI/CD, and best practices Integrate AI/ML models and GenAI capabilities into data products and workflows (e.g., predictive analytics, intelligent automation) Collaborate with business stakeholders to define requirements, translating needs into technical architectures Manage platform cost optimization, data quality/governance, and performance tuning Evaluate and recommend emerging tech, tools, and architectures to drive innovationRequired Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field 10+ years of professional experience in data architecture, engineering, or analytics roles Advanced hands-on experience withSnowflake(data warehousing, modeling, optimization) Deep expertise inDatabricks(Spark, ML workflows, lakehouse architectures) andPySpark Proficient withDBTfor data transformation and modeling Expert in building robust workflows withApache Airflow Strong programming skills inPython(including data and ML libraries) Proven track record implementingAI/ML solutionswith at least basic exposure to GenAI (LLMs, prompt engineering, AI API integration) Cloud platform experience (Azure, AWS, or GCP) Excellent problem-solving, communication, and stakeholder management skillsPreferred Qualifications Experience with Terraform, CI/CD for data engineering Familiarity with data governance, privacy, and security best practices Prior experience in client-facing solution architect or enterprise delivery roles Certifications in Snowflake, Databricks, Python, or cloud platforms Published work or demonstrated portfolio of data/AI projects Understanding of modern API integration and real-time analytics

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