Senior Data Architect

Key Skills

Apache Airflow, Apache Kafka, AWS, Azure, Data Biuld Tool - dbt, Data pipelines, Google Cloud Platform (GCP), Kubernetes-K8s, Snowflake

Job Description

Position Overview:

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.

As a Data Architect at ShyftLabs, you will collaborate and partner with business and systems analysts and technical leads to define the technical architectural designs, principles, and models that guide solution decisions within a particular domain or complete ecosystems.

This role focuses on modeling technical data designs, supporting delivery, and formulating strategic data initiatives. Broadly, it will work with every functional area of data engineering, data science teams & multiple Business partners. You blend deep expertise and experience in engineering, technical design, systems, and database management with a passion for coaching and mentoring engineering associates.

Job Responsibilities:

• Ownership, design, and maintenance of all aspects of data solutions including modeling, developing, technical documentation, data diagrams, and data dictionaries.
• Provide expertise in the development of standards, architectural governance, design patterns, and practices, and evaluate the best applicable solutions for different use cases.
• Lead the data strategy and own the vision and roadmap of data products at Petco to enable decision-making and self-service for business and analytics teams.
• Determines and develops architectural approaches and solutions, conducts business reviews, documents current systems, and develops recommendations.
• Solid experience in emerging and traditional data stacks components such as batch and real-time data ingestion, ETL, ELT, orchestration tools, on-prem and cloud DW, Python, and structured, semi, and unstructured databases.
• Collaborate closely with Data Engineering and Product team to execute on the set roadmap of data ingestion, integration, and data transformation.
• Expert with industry-standard data practices, data strategies, and data concepts.
• Evaluates existing or proposed systems for the business, and devise computer systems and related procedures to solve the business need
• Devices or modifies procedures to solve problems considering resource capacity, system limitations, and operation time, and continuously strives to improve data team maturity.
• Coordinates third-party relationships with outsourced teams and vendors for applications and troubleshoots problems with department users and administrators
• Responsible for quality assurance review of assigned projects and the evaluation and documentation of team procedures.
• Work with stakeholders to ensure that data-related business requirements for protecting sensitive data are clearly defined, communicated, well understood, and considered as part of operational prioritization and planning
• Ensure the safe storage and transmission of data in line with privacy and compliance laws, data regulations, and internal company policies
• This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem-solving and conceptual thinking abilities in addition to communication, interpersonal, and leadership skills.

Basic Qualification:

• Bachelor’s or Advanced degree in Information Systems, Information Management, Engineering, or related field
• 5+ Years of design and implementation experience in technology, in roles such as architect, software engineer, application engineer
• 3+ years developing Big Data Solutions (architectures, deployments, and operations - including design and estimation)
• 2+ years of public cloud (GCP, AWS, Azure) design and implementation experience
• Expertise in data models, data pipeline concepts, and cloud-based infrastructure disciplines such as Kubernetes, containerization, etc.
• Deep working knowledge of data technologies such as Snowflake, Kafka, DBT, Airflow, Kubernetes, etc.
• In-depth experience in solutions around data ingestion/pipelines, data migration, data testing & validation, data cleansing, data modeling, master data management (MDM), Governance, and others

Preferred Qualification:

• Excellent leadership and interpersonal skills in areas such as storytelling, facilitation, and negotiation
• Candidate demonstrates a breadth of diverse leadership experiences and capabilities with a track record of balancing concerns by finding the correct balance between business outcomes, elegance, cost, technical advancement, future agility, and avoidance of technical debt is achieved

• We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources. This role can be remote anywhere in India.