Lead Data Engineer

Role: Lead Data Engineer/ Data Architect
Location: Remote
Type: 12 Month/Contract

Top Skills: Databricks, SQL and any other ETL tools (datastage, informatica etc) are mandatory skills.

Responsibilities
Data Architecture Design: The Data Architect is responsible for designing the overall data architecture and data modeling strategies for the BI system. They collaborate with stakeholders to understand business requirements and translate them into a robust and scalable data model. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.

Data Integration: Data Architect will work on integrating data from various sources, such as databases warehouses and external systems. They develop strategies for data extraction, transformation, and loading (ETL) processes to ensure data accuracy, consistency, and availability for reporting and analysis.
BI Tool Selection and Implementation: Evaluate and select appropriate BI tools and technologies based on the organization's needs. Run POC and the implementation and configuration of BI software, including data visualization tools, reporting platforms, and analytics solutions.
Performance Optimization: Monitor and optimize the performance of the BI system to ensure efficient data retrieval, processing, and reporting. They identify and resolve performance bottlenecks by tuning queries, optimizing data structures, and implementing caching mechanisms.
Collaboration and Stakeholder Management: Data Architect collaborates with business stakeholders, data analysts, developers, and IT teams to understand their requirements and deliver solutions that meet their needs. They communicate complex technical concepts to non-technical stakeholders and provide guidance on leveraging BI capabilities.
Continuous Improvement: They stay updated with the latest trends, technologies, and best practices in the BI field. They explore opportunities for process improvement, automation, and innovation to enhance the organization's data analytics capabilities.
Data Governance and Security: Data Architect needs to establish data governance policies and procedures to ensure data quality, consistency, and security. Define access controls, data privacy measures, and data retention policies to comply with regulatory requirements and protect sensitive information.

Lead, design and implement innovative analytical solution using Tableau, SQL, and other Big Data related technologies
Work with product and engineering team to understand requirements, evaluate new features and architecture to help drive decisions
Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution
Actively participate in code review and test solutions to ensure it meets best practice specifications
Build and foster a high-performance engineering culture, mentor team members and provide team with the tools and motivation to make things happen
Work with stakeholders and cross-functional teams to develop new solutions or enhance existing solution
Demonstrate our Sephora values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative
We re excited about you if you have:
8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools
Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA
Knowledge working with APIs to collect or ingest data
Experience with Scala and Python
Strong Database knowledge, SQL & No-SQL preferred

Experience building data ingestion pipelines (simulating Extract, Transform, Load workload), data warehouse or database architecture.
Experience writing design documentation, Source to Target mapping documentation, manage confluence pages.
Experience in converting business functionalities into technical jira stories.
Experience in analyzing huge datasets, identify trends, patterns, and outliers to extract meaningful insights.
Strong experience with data modeling, design patterns, building highly scalable Business Intelligence Solutions and distributed applications.
Knowledge of cloud platforms, for example:
Experience with Azure, AWS or equivalent cloud platforms
Experience with storing, joining, filtering, and analyzing data using SQL, Spark, Hive etc.
Experience working with continuous integration framework, building regression-able code within data world using GitHub, Jenkins and related applications.
Experience with programming/scripting languages such as Scala/Java/Python/R etc. (any combination)
Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication.
Data-oriented personality. Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities.
Ability to work in a fast-paced (startup like) agile development environment.
Friendly, articulate, and interested in working in a fun, small team environment.