Data Architect - Pune, India - AlphaSense

AlphaSense

Verified Company

Pune, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About AlphaSense:

Check out what we've built so far:

About the Team:

The Data & Analytics team works across AlphaSense to make data an asset for growth. We do that through infrastructure, process, well-modeled and documented data, analysis, and deep partnership with the business.

We currently manage a data stack consisting of Segment, Fivetran, Stitch, Dataform, dbt, Google Cloud BigQuery and Looker, and are in the process of migrating to a world class platform consisting of a master data lake and a central orchestration system.

In addition to technical leadership, we partner across departments to raise the analytics bar, drive operational improvement, and support growth.

Our work spans BI dashboards for business and exec. users, ML models for retention forecasting, and data & infrastructure to support our AI engineers. We are looking for a curious, collaborative, and high-output data pro to join our team.

About the Role:

In this high-impact role, you'll be a technical and business partner to Product, working across Product and Engineering to build data infrastructure, process and data products that help AlphaSense scale.

You'll be responsible for delivering data and insights that inform product and content strategy and business decisions. You'll also take a lead role in designing tracking/infrastructure improvements and partnering with Engineering to implement.

Who You Are:

Passionate About Data: You are an expert in SQL and a proven track record coding with at least one programming language (Python, Spark, Java, etc.), have extensive knowledge about data warehouse modeling & data migration protocols, and have a passion for the 'modern data stack' (ie: ingest and transformation tools, cloud based DWH and BI). You are a outofthe box thinker who is continually on the lookout for opportunities to improve and innovate data platforms and analytic solutions
Growth oriented: You thrive in fast paced environments, have a 'whatever it takes' mentality and are eager to help us scale our business.
Collaborative: You are a collaborative connector who builds bridges between teams and functions
Experience transforming data in modeling tools such as dbt, Dataform, and working with a cloudbased data warehouse (BigQuery, Snowflake, Redshift, etc.)
8+ years Experience in building endtoend data warehouse solutions
Experience with both batch and realtime data processing as well as API platforms
Experience with Big Data Technologies (Hadoop, Spark, NoSQL database, Databricks etc)
You possess a deep curiosity and tenacity to understand data and business questions

What You'll Do:

Conceptualize, architect, and communicate Data Platform architecture and roadmap
Designs, implements, and maintains a connected data platform to drive key business decisions
Advocate and educate engineering team memes on data modeling rules, standards, and best practices
Ensuring data quality throughout all stages of acquisition and processing, including data collection, transformation, and analyzing
Guiding critical technical decisions by highlighting opportunities, identifying correlations, defining experiments, and figuring out cause and effect relationships
Communicate with business/technical partners, software vendors, and internal departments
Responsible for the overall standardizations of Data Engineering processes, identify areas of improvement in the existing platform, and recommend adoption roadmaps
Actively participate with the Analytics and Data Science teams to build analytics solutions to extract insights from data for business users
Mentor junior engineers, analysts, and project managers to implement best practices and wellarchitected infrastructure

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.