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- Design solutions involving data architectures based on established principles. Architectures include but not limited to data lake, data fabric, dimensional marts, MDM, etc.
- Create data flow diagrams and details to establish data lineage and help educate team members in a clear and articulate manner
- Partner with technical leads to identify solution components and latest data related technologies that best meet business requirements
- Identify gaps in the environment, process, and skills with the intent to address, educate, and bring teams together to drive results
- Become a thought leader by educating and sharing best practices, architecture patterns, building deep relationships with technical leaders, contributing to publications, white papers, conferences, etc
- Create cloud data models and database architecture using database deployment, monitoring automation code, and for long term technical viability of cloud master data management integrated repositories
- Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value
- Ensures adherence to Enterprise data movement, quality and accountability standards in technology
- Manage data science work streams and eventually build a team of data scientists, ML experts and data engineers to solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data
- Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modelling
- Expected to contribute to opportunity analysis, building project proposals, designing, implementation and execution across variety of ML projects in the areas of Predictive Modelling, Forecasting and Optimization
- Helps in new project proposals with advanced analytic architectures across functional areas as per requirement/opportunities
- Should have minimum of 12+ Years of experience
- Solid expertise in Data warehouse, ETL and Data engineering areas
- Exhaustive experience in Data bricks, Snowflake, Apache Airflow, etc
- Experience leading enterprise-wide data science projects from scratch to scale
- Highly proficient in Python, R, SQL, Spark, and other big data tools
- Visualization tool experience - preferably with Tableau or Power BI
- Sound knowledge of cloud ecosystems like Azure, AWS and Google cloud
- Data analysis, reporting, visualization expertise and experience with tools such as Tableau, Alteryx, Python and R in scale
- Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods
- Experience in Big Data technologies like Hadoop, Spark, Hive, Pig, Presto, Cassandra, Kafka and NoSQL databases
- Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond
- Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of core platform
Data Architect - Hyderabad, India - Accellor
Description
About US: -Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.
Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture.
Accellor is looking for Data Architect, a self-driven senior technical professional to collaborate with our business and Development teams and help qualify, identify, and build Data & Analytics solutions. As part of Enterprise Data Team, this position is responsible for actively defining robust, efficient, scalable and innovation solutions that are custom fit to our needs.
Responsibilities:
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer: -
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.