Snowflake Data Engineer Location : Hybrid/Remote Experience : 2–5 years Type : Full-time Company Overview Techylla is a specialized IT consulting firm with a presence in both India and the US. We collaborate closely with companies to provide data-driven decision-making solutions that bridge the gap between technical depth and operational insight. Our services span IT consulting, supply chain analytics, and technology-enabled transformation. Trust, accountability, and innovation are at the heart of our culture. We build strong, enduring partnerships with clients and foster a collaborative environment that empowers individuals to grow and deliver high-quality outcomes. Role Overview We are seeking a proactive and technically sound Data Engineer with 2–5 years of experience to support the development and enhancement of data pipelines in Snowflake. The selected candidate will work alongside senior engineers and analysts to ensure timely, accurate, and reliable data delivery for business operations and decision-making. This is a hands-on role ideal for someone who is enthusiastic about data engineering and ready to grow in a fast-paced environment. Key Responsibilities Develop and maintain scalable ETL pipelines using Snowflake, DBT, and supporting tools Support the ingestion, transformation, and loading of structured and semi-structured datasets into Snowflake Assist in data modeling, schema design, and performance optimization Write, optimize, and troubleshoot complex SQL queries, stored procedures, and views Participate in version-controlled workflows using Git or Azure DevOps Document data flows, pipeline configurations, and data lineage for internal use Identify and resolve data quality issues and pipeline bottlenecks Required Skills & Qualifications Must-Have: 2–5 years of hands-on experience in data engineering or SQL development Proficiency in Snowflake, including scripting, table design, data loading, and querying Strong knowledge of SQL and query optimization techniques Exposure to cloud platforms such as Azure or AWS Familiarity with version control systems like Git and CI/CD processes Understanding of ETL concepts and tools such as Azure Data Factory, DBT, or similar Bachelor’s degree in Computer Science, Information Systems, or a related field Nice-to-Have: Experience working with supply chain, logistics, or operations datasets Exposure to Python scripting for data transformation and orchestration Understanding of Snowflake features like Snowpipe, Streams, Tasks, and UDFs Familiarity with BI tools such as Tableau What We’re Looking For A self-motivated individual with a strong desire to learn and grow Ability to work effectively in cross-functional teams Clear written and verbal communication skills A mindset that thrives in agile and fast-paced environments Why Join Techylla? You will gain hands-on experience working with production-grade data systems, exposure to real-world supply chain data, and mentorship from senior engineers. This is a great opportunity to contribute to meaningful projects that directly impact operational decision-making.

· Location : Hybrid/Remote · Experience : 10+ Years · Type : Full-time Company Overview Techylla is a specialized IT consulting firm with offices in India and the US, focused on delivering high-impact data and analytics solutions for clients. We help organizations leverage modern data platforms to unlock actionable insights and drive transformation. Our teams work at the intersection of business strategy and technical depth, delivering scalable solutions that are robust, secure, and built for the future. At Techylla, we foster a culture of accountability, collaboration, and innovation. Role Overview We are seeking a Senior Snowflake Solutions Architect to lead the design, implementation, and governance of complex, enterprise-grade data platforms built on Snowflake. This role requires an expert-level understanding of cloud data architecture, data modelling, performance tuning, cost governance, and modern data engineering frameworks. As a strategic thought partner to both technical and business stakeholders, you will define architecture standards, oversee end-to-end migrations, implement robust change data capture (CDC) frameworks, and ensure secure, scalable, and governed data solutions. You will also mentor engineering teams and play a hands-on role in technical solutioning across our client environments. This position is ideal for a senior professional with a proven record of leading Snowflake architecture at scale, deep knowledge of modern data stacks (dbt, Airflow, CI/CD), and a strong focus on business alignment, data governance, and platform sustainability. Key Responsibilities Define and own the Snowflake architecture strategy , ensuring alignment with enterprise goals, data governance policies, and operational requirements Lead the migration of large-scale data assets from legacy and cloud data platforms into Snowflake Architect and implement advanced CDC frameworks for real-time or near-real-time data replication Design and optimize modular, scalable ELT pipelines using dbt , ensuring reusable and production-grade data transformations Govern and monitor Snowflake environments through performance tuning , multi-cluster strategies , credit optimization , and cost forecasting Oversee security and compliance in Snowflake through RBAC, encryption, data masking, OAuth 2.0, and integration with identity providers like Okta Establish standards for metadata management, data lineage , and enterprise documentation Drive adoption of best practices in data modeling (3NF, star, snowflake schemas), query optimization, and storage management Integrate Snowflake with orchestration (Airflow, dbt Cloud), observability (Datadog), and CI/CD platforms (Bitbucket, Azure DevOps) Provide technical leadership and mentorship to engineering teams across projects and clients Conduct architectural reviews, proof-of-concepts, and tool evaluations for ingestion, processing, CDC, and security frameworks Collaborate with business, analytics, and IT stakeholders to translate business goals into robust, secure data architectures Implement principles of data quality monitoring , including integration with tools like Informatica IDQ or enterprise MDM platforms Manage data sharing across environments, monitor query usage, and enforce governance around EOL data and reference datasets Required Skills & Qualifications Must-Have: 10+ years of experience in data engineering and architecture, with a strong focus on Snowflake over the last 4–5 years Demonstrated leadership in enterprise-scale Snowflake platform design and optimization Proven ability to plan and execute large data migrations and platform consolidations Expertise in CDC tools and patterns (Kafka, Debezium, Fivetran, Qlik Replicate) Advanced Snowflake administration skills: warehouse sizing, multicluster tuning, resource monitors, performance tracking Mastery of SQL , dbt, and modern data transformation techniques Experience integrating Snowflake into CI/CD , version-controlled workflows, and agile delivery models Strong grasp of data governance, metadata management , and platform observability Excellent communication, stakeholder engagement, and cross-functional leadership skills Nice-to-Have: Domain knowledge in SAP supply chain Familiarity with Tableau or Power BI for analytics enablement Exposure to Snowflake AI/ML capabilities Experience advising on technical debt , platform modernization, or data architecture strategies · Snowflake Certifications , such as: o SnowPro Core Certification o SnowPro Advanced Architect Certification o SnowPro Advanced Data Engineer Certification Why Join Techylla? At Techylla, you’ll operate at the forefront of cloud data architecture, influencing both strategy and execution across high-value client environments. You will have the opportunity to lead end-to-end initiatives, mentor top talent, and shape best practices for scalable, future-ready data platforms. This is a strategic role offering deep technical engagement, autonomy, and impact. #Techylla #SnowflakeArchitect #DataEngineering #SnowPro #CloudDataArchitecture #SnowflakeSolutions #DataPlatformStrategy #SeniorDataRoles #CDC #dbt #Airflow #Azure #EnterpriseArchitecture #Hiring