Address
Form of workA BIT ABOUT WAVICLE
Wavicle Data Solutionsleverages Cloud, Data & Analytics technologies to deliver complex business & digital transformation solutions to our clients. As a Minority Business Enterprise (MBE) with a 40%+ women workforce, Wavicle fosters a diverse & equitable environment where innovative professionals come together as a team and enable our clients to realize their goals in their transformation journey. Our team members collaborate by infusing their creative problem solving skills, agile working & tech know-how to drive value for our clients.
At Wavicle, a Top Workplace award winner, you'll find a challenging and rewarding work environment where our 500+ team members based in US, India Canada work from 42 cities in a remote/hybrid, digitally connected way. We offer a competitive benefits package that includes: healthcare, retirement, life insurance, short/long-term disability, unlimited paid time off, short-term incentive plans (annual bonus) and long-term incentive plans.
WHY WAVICLE?
Watch here to learn: https://vimeo.com/654661550
THE OPPORTUNITY
Wavicle is hiring aSenior DataSolution Architect who has deep Energy domain expertise who can be a hands-on Solution Architect for our client in Houston, TX. This individual has grown their career through the technical ranks and has proven experience working directly with client leaders to understand their business problem and architecting end-to-end solutions leveraging data & analytics in the AWS cloud. A successful Data Solution Architect can operate both strategically and tactically and get into the weeds (hands-on) as required.
- Lead and provide advanced data engineering expertise for projects that enable analytics to drive optimization of decisions for client(s), within a team of engineers.
- Design new methods and processes to ensure maximum effectiveness of client data.
- Partner with data analysts/scientists to provide solutions enabling statistical analysis tools and data visualization applications.
- Identify processes and tools that can be shifted towards automation to enable seamless development and self-service analytics workloads.
- Partner with various business units and data stewards to understand the business needs.
- Obtain and/or maintain technical expertise of available data manipulation and preparation tools (ADF, Talend, Informatica, Matillion, etc.) as well as programming languages (Python, Spark, etc.)
- Ensure data is secure, relevant, and maintains high quality standards.
- Identify and implement industry best practices.
- Evaluate new data sets to determine appropriate ingestion techniques.
- Build, manage and optimize data pipelines through a variety of ETL tools, including custom infrastructure and 3rd-party tooling (AWS, Databricks, Snowflake).
- Work with internal engineering teams and vendors to understand business logic to ensure veracity in datasets.
- Generate documentation on existing production data logic and its influencing business processes in order to reconcile knowledge gaps between the business, engineering, and data collection.
- Bachelor or Master Degree in Computer Science or relevant field is required.
- 10+ years of experience in delivering end-to-end data engineering and/or data warehouse solutions that include batch and streaming capabilities is required.
- 3+ years of subject matter expertise in the Energy industry is required.
- Expert knowledge of AWS cloud services.
- Experience leveraging cloud frameworks.
- Building CI/CD pipelines using Jenkins, Ansible, Python, Shell Scripting, Change Management and production support activities.
- In-depth expertise of design, implementation, engineering, automation and devops implementation, service operation and service improvement initiatives.
- On-prem / other cloud providers to cloud migration using cloud migration tools.
- Strong understanding of Unix operating system and experience in any scripting language like Python, Shell, Awk, etc.
- Understand and experience on handling of servers like IIS, Tomcat or Apache.
- Experience building, testing, automating and optimizing data pipelines is required.
- Experience using emerging technologies (Snowflake and/or Databricks) is required.
- Strong understanding and prior use of SQL and be highly proficient in the workings of data technologies (Hadoop, Hive, Spark, Kafka, low latency data stores, Airflow, etc.) is required.
- Deep understanding of data testing techniques, and a proven record of driving sustainable change to the software development practice to improve quality and performance.
- Expertise selecting context-appropriate data modeling techniques, including Kimball dimensional modeling, slowly changing dimensions, snowflake, and others.
- Passion for software development and data and be highly skilled in performing data extraction, transformation and processing to optimize quantitative analyses on various business functions.
- Familiarity with Scrum, DevOps, and DataOps methodologies, and supporting tools such as JIRA.
- Excellent oral and written communication skills.
- Strong presentation skills and the ability to communicate analytical and technical concepts with confidence and in an easy-to-understand fashion to technical and non-technical audiences.
- This position requires the consultant to reside in the Houston, TX area and be in the client office in Houston at least 3 days per week.
#LI-TB1
EQUAL OPPORTUNITY EMPLOYER
Wavicle is an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We welcome and encourage diversity in the workplace regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status.
PI233386068
