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Chief Data Strategist

Chief Data Strategist

beBeeDataAnand, Gujarat, India
30+ days ago
Job description

About the Role

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At the forefront of data innovation, we seek an accomplished Data Architect to spearhead the design and implementation of cutting-edge cloud data platforms. As a visionary in the field, you will partner with business and technical leaders to deliver scalable, innovative data products, architectures, and analytics capabilities.

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Key Responsibilities

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  • Architect and implement scalable data platforms, pipelines, and solutions using Snowflake, Databricks, DBT, Airflow, Python, and PySpark.

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  • Lead cloud data migration projects, designing robust, secure, and reusable analytics architectures.
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  • Develop and optimize ELT / ETL workflows for batch and real-time processing.
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  • Design dimensional models, data lakes, data marts, and advanced analytics infrastructures.
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  • Oversee and mentor data engineering teams in coding standards, CI / CD, and best practices.
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  • Integrate AI / ML models and GenAI capabilities into data products and workflows (e.g., predictive analytics, intelligent automation).
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  • Collaborate with business stakeholders to define requirements, translating needs into technical architectures.
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  • Manage platform cost optimization, data quality, governance, and performance tuning.
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  • Evaluate and recommend emerging tech tools and architectures to drive innovation.
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    Requirements

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  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
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  • 7+ years of professional experience in data architecture, engineering, or analytics roles.
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  • Advanced hands-on experience with Snowflake data warehousing modeling and optimization.
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  • Deep expertise in Databricks Spark ML workflows, lakehouse architectures, and PySpark.
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  • Proficient with DBT for data transformation and modeling.
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  • Expert in building robust workflows with Apache Airflow.
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  • Strong programming skills in Python, including data and ML libraries.
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  • Proven track record implementing AI / ML solutions with at least basic exposure to GenAI, LLMs, prompt engineering, AI API integration.
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  • Cloud platform experience (Azure, AWS, GCP).
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  • Excellent problem-solving, communication, and stakeholder management skills.
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    Preferred Skills

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  • Experience with Terraform, CI / CD for data engineering.
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  • Familiarity with data governance, privacy, and security best practices.
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  • Prior experience in client-facing solution architect or enterprise delivery roles.
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  • Certifications in Snowflake, Databricks, Python, or cloud platforms.
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  • Published work or demonstrated portfolio of data, AI projects.
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  • Understanding of modern API integration and real-time analytics.
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    Equal Opportunity Statement

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    We are committed to diversity and inclusivity.

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    Chief Data Strategist • Anand, Gujarat, India

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