Data Architect

Key Skills

Apache Airflow, AWS, Business Intelligence, Client Handling, Data Architecture, Data Biuld Tool - dbt, Data Lake, Data pipelines, Data Transformation, Data Warehousing, Design, Google BigQuery, Google Cloud Platform (GCP), High performance computing- HPC, Python Programming, Snowflake, SPARK Programming, SQL

Job Description

ShyftLabs is searching for a versatile and resourceful Data Architect with 5+ years of experience. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

The ideal candidate will have expertise in designing and developing complex, scalable client-facing solutions using serverless cloud technologies. This person wants to be part of building something new with great visibility across the enterprise companies and endless possibilities ahead as we continue to grow and scale.

You have experience with data as a product, and the systems that produce and underpin those products including data lakes, data pipelines, governance, and analytics. You can fine-tune for viability, performance, scalability, and resilience. You have direct experience and insights into the benefits and downsides of different data storage and transformation technologies and governance.

Job Responsibilities:

Design, architect, implement and support simple to complex enterprise data warehouses using on-premises and cloud technologies.

Lead and provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modeling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and to ensure alignment to the overall business needs.

Identify and articulate technical and operational requirements for data pipelines and the models they populate; be able to optimize these pipelines for high-performance/resiliency workloads.

Experiment with, recommend, and collaborate with other team members to develop and enhance the technology stack.

Basic Qualification:

5+ years of experience in data Engineering/ analytics or related field.

Expertise in Python and SQL.

Experience with Modern Data Stack.

Experience with Workflow management and automation like Airflow, Composer, DBT, Spark, etc.

Experience working with a Data Warehouse platform, Snowflake, and Big Query.

Experience with AWS and GCP Cloud Infrastructure.

Preferred Qualification:

DBA experience on other platforms.

Scripting or general programming experience.

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office. We pride ourselves on the growth of our employees, offering extensive learning and development resources. 

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.